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A Practical Guide for the Workforce","AI literacy is the workforce capability to use AI safely and effectively. A practical guide to what it means, why it matters, and how organizations build it.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fwhat-is-ai-literacy.webp",8,"2026-07-01T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":97,"slug":98,"segments":99,"tags":100,"title":102,"description":103,"ogImage":104,"readingTimeMinutes":93,"publishedAt":105,"author":106},24,"what-is-skill-intelligence",[69],[101],"skill-intelligence","What Is Skill Intelligence? A Guide for HR and L&D","Skill intelligence turns scattered talent data into a live map of what your workforce can actually do. A practical guide for HR and L&D leaders.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fwhat-is-skill-intelligence.webp","2026-06-30T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},"Milos","https:\u002F\u002Fcdn.kampster.com\u002Fimg\u002Fowner-milos.jpg","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fmilos-jovanovic-001\u002F","CEO & Co-Founder at Kampster","milos",{"id":113,"slug":114,"segments":115,"tags":116,"title":118,"description":119,"ogImage":120,"readingTimeMinutes":93,"publishedAt":121,"author":122},21,"skills-gap-analysis-guide",[69,70],[101,117],"skill-assessments","Skills Gap Analysis: How to Find and Close Workforce Skill Gaps","A practical guide to skills gap analysis for L&D and executive leaders: how to map, measure, and close the skill gaps that hold your organization back.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fskills-gap-analysis-guide.webp","2026-06-29T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":124,"slug":125,"segments":126,"tags":127,"title":129,"description":130,"ogImage":131,"readingTimeMinutes":76,"publishedAt":132,"author":133},18,"ai-lms-vs-traditional-lms",[69,70],[128],"ai-lms","AI LMS vs Traditional LMS: What Actually Changes","AI LMS vs traditional LMS, decoded for L&D and execs: what actually changes in authoring, personalization, skill visibility, and measurable workforce readiness.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fai-lms-vs-traditional-lms.webp","2026-06-28T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":135,"slug":136,"segments":137,"tags":138,"title":139,"description":140,"ogImage":141,"readingTimeMinutes":142,"publishedAt":143,"author":144},23,"what-is-an-ai-lms",[69,88,70],[128],"What Is an AI LMS? A Guide to AI Learning Platforms","An AI LMS uses machine intelligence to author, personalize, and verify learning at scale. Here is what an AI learning platform does and how to evaluate one.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fwhat-is-an-ai-lms.webp",9,"2026-06-27T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":146,"slug":147,"segments":148,"tags":149,"title":151,"description":152,"ogImage":153,"readingTimeMinutes":76,"publishedAt":154,"author":155},19,"eu-ai-act-ai-literacy-compliance",[69,70,88],[150,72],"eu-ai-act","EU AI Act Article 4: The AI Literacy Compliance Guide","A practical guide to EU AI Act Article 4: what the AI literacy obligation requires, who it applies to, the enforcement timeline, and how to document compliance.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Feu-ai-act-ai-literacy-compliance.webp","2026-06-26T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":157,"slug":158,"segments":159,"tags":160,"title":161,"description":162,"ogImage":163,"readingTimeMinutes":76,"publishedAt":164,"author":165},20,"how-to-measure-ai-literacy",[69,70,88],[72,117],"How to Measure AI Literacy (and Why Self-Assessment Isn't Enough)","A practical guide to AI literacy assessment for L&D and HR: why self-ratings and completion metrics fail, and what a credible AI literacy test looks like.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fhow-to-measure-ai-literacy.webp","2026-06-25T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":167,"slug":168,"segments":169,"tags":170,"title":172,"description":173,"ogImage":174,"readingTimeMinutes":175,"publishedAt":176,"author":177},15,"what-happens-when-everyone-has-an-ai-tutor",[69,88,70],[171],"ai-tutor","What Happens When Everyone Has an AI Tutor?","When everyone can access an AI tutor, knowledge stops being the advantage. The future of learning belongs to those who turn knowledge into capability.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fwhat-happens-when-everyone-has-an-ai-tutor.webp",6,"2026-06-20T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":179,"slug":180,"segments":181,"tags":182,"title":184,"description":185,"ogImage":186,"readingTimeMinutes":93,"publishedAt":187,"author":188},1,"beyond-the-ai-tutor-capability-coaches",[69,88],[171,183],"capability","Beyond the AI Tutor: Why the Future of Learning Requires AI Capability Coaches, Not Chatbots","AI tutors answer questions. The next generation of learning AI pursues goals — turning knowledge into skills, skills into capability, and capability into real-world outcomes.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fbeyond-the-ai-tutor-capability-coaches.webp","2026-06-16T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":142,"slug":190,"segments":191,"tags":192,"title":193,"description":194,"ogImage":195,"readingTimeMinutes":142,"publishedAt":196,"author":197},"human-resources-skill-intelligence-not-job-titles",[69],[101],"Why the Future of Human Resources Depends on Skill Intelligence, Not Job Titles","Most workforce decisions rest on job titles and self-assessments, not evidence. Skill Intelligence gives HR objective visibility into capability — and cuts the cost of getting it wrong.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fhuman-resources-skill-intelligence-not-job-titles.webp","2026-06-13T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":199,"slug":200,"segments":201,"tags":202,"title":203,"description":204,"ogImage":205,"readingTimeMinutes":175,"publishedAt":206,"author":207},12,"the-capability-crisis",[69,70],[183],"The Capability Crisis","Organizations know where their servers, budgets, and customers are — but not where critical skills reside. Why capability is the least understood asset.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fthe-capability-crisis.webp","2026-06-10T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":93,"slug":209,"segments":210,"tags":211,"title":213,"description":214,"ogImage":215,"readingTimeMinutes":142,"publishedAt":216,"author":217},"future-of-learning-habit-over-motivation",[69,88,70],[212],"upskilling","Why the Future of Learning Depends Less on Motivation and More on Habit","Motivation helps people start learning; habits help them continue. Inside Kampster's Micro-Habit Learning Framework and the behavioral science behind it.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Ffuture-of-learning-habit-over-motivation.webp","2026-06-06T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":219,"slug":220,"segments":221,"tags":222,"title":223,"description":224,"ogImage":225,"readingTimeMinutes":175,"publishedAt":226,"author":227},4,"context-is-the-new-curriculum",[88,69],[183],"Context Is the New Curriculum","AI made content infinite, so content lost its value. The future of learning belongs to systems that understand why a person needs to learn — not just what.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fcontext-is-the-new-curriculum.webp","2026-06-03T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":229,"slug":230,"segments":231,"tags":232,"title":233,"description":234,"ogImage":235,"readingTimeMinutes":76,"publishedAt":236,"author":237},13,"the-end-of-training",[69],[183,212],"The End of Training","Organizations spend billions on training, yet capability rarely follows. Why learning is no longer the goal — and how to build capability that drives real outcomes.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fthe-end-of-training.webp","2026-05-29T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":239,"slug":240,"segments":241,"tags":242,"title":244,"description":245,"ogImage":246,"readingTimeMinutes":93,"publishedAt":247,"author":248},14,"the-human-side-of-ai-transformation",[69],[243],"ai-readiness","The Human Side of AI Transformation","Most AI projects fail before they start — not because the technology fails, but because people aren't ready. Why human readiness decides AI transformation.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fthe-human-side-of-ai-transformation.webp","2026-05-26T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":175,"slug":250,"segments":251,"tags":252,"title":253,"description":254,"ogImage":255,"readingTimeMinutes":142,"publishedAt":256,"author":257},"from-human-resources-to-human-capability-management",[69],[101,183],"From Human Resources to Human Capability Management","The next decade won't be about managing people, but about managing capability. Why HR is shifting from job titles to skill intelligence and capability visibility.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Ffrom-human-resources-to-human-capability-management.webp","2026-05-22T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":259,"slug":260,"segments":261,"tags":262,"title":263,"description":264,"ogImage":265,"readingTimeMinutes":93,"publishedAt":266,"author":267},10,"learning-and-development-must-evolve-in-the-age-of-ai",[69],[183,212],"Why Learning & Development Must Evolve in the Age of AI","L&D is shifting from managing courses to building capability. Why activity metrics no longer cut it — and how to move from Learning Management to Capability Intelligence.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Flearning-and-development-must-evolve-in-the-age-of-ai.webp","2026-05-19T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":76,"slug":269,"segments":270,"tags":271,"title":272,"description":273,"ogImage":274,"readingTimeMinutes":93,"publishedAt":275,"author":276},"future-ai-kampster-human-infrastructure-for-ai-era",[69,70],[243,72],"How Future & AI and Kampster Are Building the Human Infrastructure for the AI Era","Awareness of AI is growing fast; capability is not. How the Future & AI and Kampster partnership turns AI awareness into measurable, verified workforce capability.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Ffuture-ai-kampster-human-infrastructure-for-ai-era.webp","2026-05-15T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":278,"slug":279,"segments":280,"tags":281,"title":282,"description":283,"ogImage":284,"readingTimeMinutes":76,"publishedAt":285,"author":286},5,"employees-not-as-skilled-as-you-think",[69],[101,117],"What If Your Employees Are Not as Skilled as You Think?","CVs, interviews, and certificates measure participation, not capability. Why organizations need Skill Intelligence to make better workforce decisions.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Femployees-not-as-skilled-as-you-think.webp","2026-05-12T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":288,"slug":289,"segments":290,"tags":291,"title":292,"description":293,"ogImage":294,"readingTimeMinutes":93,"publishedAt":295,"author":296},16,"workforce-development-beyond-the-lms",[69],[128,183],"Why the Future of Workforce Development Requires More Than Learning Management Systems","LMS platforms track whether learning happened. The AI era demands capability — visibility, verification, and readiness. Enter the Human Capability Platform.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fworkforce-development-beyond-the-lms.webp","2026-05-08T09:00:00.000Z",{"name":79,"image":80,"linkedin":81,"title":82,"slug":83},{"id":298,"slug":299,"segments":300,"tags":301,"title":302,"description":303,"ogImage":304,"readingTimeMinutes":76,"publishedAt":305,"author":306},3,"context-is-the-curriculum-relevance-over-content",[88,69],[183],"Context Is the Curriculum: Why the Future of Learning Is Not About Content, But About Relevance","When AI makes knowledge instantly accessible, the value of learning shifts from content to context — the right information for a specific person, moment, and purpose.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fcontext-is-the-curriculum-relevance-over-content.webp","2026-05-05T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":308,"slug":309,"segments":310,"tags":311,"title":312,"description":313,"ogImage":314,"readingTimeMinutes":93,"publishedAt":315,"author":316},2,"consulting-firms-integrators-new-model-ai-era",[69],[183],"Why Consulting Firms and Technology Integrators Need a New Model for the AI Era","Technology now changes faster than human capability. The future of consulting and implementation belongs to firms that turn strategy into measurable capability.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fconsulting-firms-integrators-new-model-ai-era.webp","2026-05-01T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":318,"slug":319,"segments":320,"tags":321,"title":322,"description":323,"ogImage":324,"readingTimeMinutes":175,"publishedAt":325,"author":326},25,"ai-platform-at-the-research-table",[88,69],[183],"What Happens When an AI Platform Sits at the Table With Leading Education Researchers?","At the M-CTRAS 2025 conference at Johannes Kepler University in Linz, Kampster AI presented its methodology not as another EdTech product, but as part of the scientific conversation about how people actually learn.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fai-platform-at-the-research-table.webp","2025-07-02T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},{"id":328,"slug":329,"segments":330,"tags":331,"title":332,"description":333,"ogImage":334,"readingTimeMinutes":76,"publishedAt":335,"author":336},26,"the-capability-revolution",[69,88,70],[183,243],"The Capability Revolution: Why the New Kampster AI Doesn't Teach People, It Makes Them More Capable","The biggest shift in the new Kampster AI isn't technological — it's methodological. Why we stopped trying to boost motivation and started building capability through daily micro-habits.","https:\u002F\u002Fcdn.kampster.com\u002Fblog\u002Fthe-capability-revolution.webp","2025-06-05T09:00:00.000Z",{"name":107,"image":108,"linkedin":109,"title":110,"slug":111},[338,349,363,376,389,402,415,428,441,454,467,480,493,506,519,532,545,556,569,582,595,608],{"id":339,"title":340,"name":341,"position":342,"videoId":343,"description":344,"thumbnail":345,"publishedAt":346,"duration":347,"socialMedia":348},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5DNzE1RjZEMUZCMjA0RDBB","Clemente Francavilla - Investment Manager and Investment Committee at Plug and Play","Clemente Francavilla","Investment Manager and Investment Committee at Plug and Play","5gWTpJqNB_s","## About the Expert\n\nClemente Francavilla is a member of the Ventures & Investments Team at Plug and Play, one of the world's largest innovation platforms and early-stage venture capital firms. With experience across investment funds in both Europe and the United States, Clemente has spent the last several years evaluating high-growth startups and helping founders scale their businesses.\n\nAt Plug and Play, he has worked across multiple regions, including Central and Eastern Europe, the Middle East, and the Western Balkans, where he focuses on identifying promising technology startups and supporting the growth of emerging innovation ecosystems.\n\n## What do investors really look for in AI startups?\n\nBuilding an AI product is no longer enough to attract investors. In this conversation, Clemente Francavilla explains what separates successful AI startups from those that struggle to raise funding.\n\nDrawing on his experience evaluating hundreds of startups, he shares what venture capital investors expect to see beyond the AI buzzword—from real market demand and product-market fit to customer traction and scalable business models.\n\n## The biggest mistakes founders make when pitching investors\n\nAccording to Clemente, one of the most common mistakes founders make is pitching a product instead of a business. While innovative technology is important, investors ultimately want to understand how a company solves a meaningful problem and creates long-term value.\n\nHe also explains why founders should acknowledge their competition instead of ignoring it. Demonstrating a clear understanding of the market—and explaining why your solution is different—is often far more convincing than claiming to have no competitors.\n\n## Where AI will create the biggest opportunities\n\nLooking ahead, Clemente believes AI will continue transforming industries where automation, efficiency, and better decision-making can generate significant value.\n\nAmong the sectors with the greatest potential are healthtech, edtech, fintech, and cybersecurity, where AI is already reducing costs, improving operations, and creating entirely new business opportunities.\n\n## Why Central and Eastern Europe is becoming a startup hotspot\n\nClemente sees enormous potential in the startup ecosystems of Central and Eastern Europe and the Western Balkans. Strong engineering talent, ambitious founders, and increasing government support are creating the foundations for long-term innovation.\n\nWhile the region has not yet produced many locally headquartered unicorns, he believes this is largely due to the ecosystem's relative youth. As access to funding improves and local startup communities continue to mature, he expects many more globally successful companies to emerge.\n\n## Forget perfection—focus on product-market fit\n\nOne of Clemente's strongest pieces of advice for founders is to launch early rather than waiting for a perfect product.\n\nInstead of spending months or years building features, entrepreneurs should validate that a real market exists, gather customer feedback, and iterate quickly. Product-market fit, customer demand, and traction matter far more than polished features that nobody actually needs.\n\n## Adaptability is the ultimate AI skill\n\nAs AI evolves at an incredible pace, Clemente believes the most valuable skill for professionals and entrepreneurs is adaptability.\n\nNew AI solutions emerge almost daily, making products and business models obsolete faster than ever before. Those who continuously learn, adapt, and respond quickly to changing technologies will be best positioned to succeed in the AI economy.\n\n\n🎥 ## Watch the full interview with Clemente Francavilla and learn what investors are really looking for in AI startups, why product-market fit matters more than perfection, and how founders can build companies that stand out in a rapidly evolving market.\n\n🌐 ## Explore Kampster AI – the platform for AI education, knowledge testing, and online learning – and develop the skills needed to build, innovate, and succeed in the age of AI.\n\nLinkedin: https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fclementefrancavilla\u002F","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F5gWTpJqNB_s\u002Fsddefault.jpg","2026-07-08T12:07:47Z","PT7M8S",[],{"id":350,"title":351,"name":352,"position":353,"videoId":354,"description":355,"thumbnail":356,"publishedAt":357,"duration":358,"socialMedia":359},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy43MTI1NDIwOTMwQjIxMzNG","Caroline Levander - VP for Global Strategy Rice University","Caroline Levander","VP for Global Strategy Rice University","pBL2FvGS4mQ","## About the Expert\n\nCaroline Levander is Vice President for Global Strategy at Rice University, where she leads the university's international partnerships, global initiatives, and innovation strategy. Throughout her career, she has helped shape the future of higher education by leading strategic initiatives at pioneering online learning platforms including Coursera, edX, and 2U.\n\nPassionate about education, AI, and innovation, Caroline works at the intersection of research, technology, and entrepreneurship, helping universities prepare students for an AI-powered future while building global ecosystems that foster creativity and breakthrough ideas.\n\n\n## How should universities prepare students for the age of AI?\n\nArtificial intelligence is transforming education faster than traditional institutions can adapt. In this conversation, Caroline Levander explains why preparing students for the future isn't about teaching today's AI tools—it's about helping them become lifelong learners who can continuously adapt to new technologies.\n\nShe shares how universities can embrace AI without replacing educators, while creating more personalized, creative, and engaging learning experiences.\n\n\n## AI won't replace professors—it will transform teaching\n\nOne of the biggest concerns surrounding AI in education is whether it will replace teachers. Caroline argues the opposite.\n\nRather than replacing faculty, AI enables educators to better understand how students learn, identify individual challenges, and deliver more personalized support. As classrooms become increasingly diverse, AI can help move education beyond one-size-fits-all teaching toward learning experiences tailored to every student.\n\n\n## Why creativity is the most important skill of the future\n\nAccording to Caroline, universities are no longer in the business of simply delivering knowledge. AI can already provide information instantly, making memorization less valuable than ever before.\n\nInstead, education should focus on developing creativity—the ability to connect ideas, solve new problems, and innovate. As employers increasingly prioritize creative thinking, universities must prepare graduates who can work alongside AI while contributing uniquely human insights.\n\n## Building flexible AI strategies for education\n\nBecause AI evolves so rapidly, Caroline believes organizations should avoid rigid long-term AI plans. Instead, universities and businesses need flexible strategies that encourage continuous experimentation and learning.\n\nRather than treating AI competency as a fixed destination, leaders should create environments where students and employees constantly explore new tools, adapt to change, and build confidence using emerging technologies.\n\n## Innovation happens when education meets entrepreneurship\n\nBeyond research and teaching, Rice University has built an innovation ecosystem that helps students transform ideas into companies. Through startup incubators, venture funding, and entrepreneurial support, students are encouraged to turn research into real-world solutions.\n\nCaroline highlights how many of these startups already integrate AI into their daily operations, particularly in areas such as green technology, sustainability, energy transition, and climate innovation, demonstrating how AI can accelerate meaningful societal impact.\n\n## The future belongs to curious learners\n\nCaroline believes AI represents one of the greatest opportunities in the history of education—but only for those willing to embrace continuous learning.\n\nWhether you're a student, educator, entrepreneur, or business leader, success in the AI era depends on curiosity, creativity, and the willingness to experiment with new technologies. Those who learn to work alongside AI today will be the ones shaping tomorrow.\n\n\n🎥 ## Watch the full interview with Caroline Levander and discover how AI is transforming higher education, innovation, and the future of learning.\n\n🌐 ## Explore Kampster AI – the platform for AI education, knowledge testing, and online learning – and develop the creative and AI skills needed to thrive in the future of work.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FpBL2FvGS4mQ\u002Fsddefault.jpg","2026-07-29T16:20:15Z","PT9M48S",[360],{"name":361,"url":362},"linkedin","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fcaroline-levander\u002F",{"id":364,"title":365,"name":366,"position":367,"videoId":368,"description":369,"thumbnail":370,"publishedAt":371,"duration":372,"socialMedia":373},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5GM0Q3M0MzMzY5NTJFNTdE","Matthias Wolf - Head of Global Partnerships, Radancy","Matthias Wolf","Head of Global Partnerships, Radancy","gbbcup1C9qA","## About the Expert\n\nMatthias Wolf is responsible for Technology Partnerships at Radancy, a global HR technology company helping organisations attract, engage, and hire the right talent. Before joining Radancy, Matthias co-founded Firstbird, an employee referral software company launched in Vienna in 2013.\n\nFirstbird pioneered the digitalisation of employee referral programs, helping organisations leverage the power of their employees' networks to find and hire top talent. After growing the company to nearly 50 employees and serving global customers such as SAP, Firstbird was acquired by Radancy in 2022.\n\n## Can AI solve recruiting's biggest challenges — or create new ones?\n\nThe talent acquisition industry is undergoing one of the biggest transformations in its history. AI is changing how organisations source candidates, screen applications, evaluate skills, and develop future talent pipelines.\n\nIn this conversation, Matthias Wolf shares his journey from HR tech founder to technology partnerships leader and explains how AI is reshaping recruitment, employee referrals, and workforce development. He discusses both the opportunities and challenges organisations face as AI becomes deeply embedded in hiring processes.\n\n## From startup founder to successful acquisition\n\nMatthias reflects on the experience of building Firstbird and growing it into one of Europe's leading employee referral platforms. The company's mission was simple but powerful: help organisations unlock the hiring potential of their employees' professional networks.\n\nWhat had traditionally been an informal recruiting channel became a scalable, engaging, and measurable process through technology. Matthias explains how educating the market, proving business value, and building a sustainable growth engine were essential to the company's success and eventual acquisition by Radancy.\n\n## How AI is transforming talent acquisition\n\nAI is rapidly changing the daily work of recruiters. According to Matthias, the biggest opportunity lies in automating repetitive and time-consuming tasks so recruiters can focus on the areas where human interaction matters most.\n\nFrom candidate screening and job matching to interview support and talent discovery, AI is helping organisations improve efficiency and make faster hiring decisions. At the same time, recruiters can dedicate more time to relationship-building, candidate experience, and strategic workforce planning.\n\n## The hidden challenge: too many applications\n\nWhile AI helps recruiters work more efficiently, it has also created a new problem. AI-powered job application tools allow candidates to apply for positions at scale, generating an overwhelming volume of applications.\n\nMatthias shares examples of organisations receiving thousands of applications for a single role, creating new challenges for talent acquisition teams. As a result, companies must increasingly rely on AI not only to attract candidates, but also to manage and evaluate them effectively.\n\n## The shift from CVs to skills-based hiring\n\nOne of the most significant trends in recruitment is the move toward skills-based hiring. Organisations are increasingly evaluating candidates based on their capabilities rather than solely on their work history or CVs.\n\nMatthias explains how companies are building internal talent marketplaces, enabling employees to move more freely across roles while developing new skills. However, he also highlights the challenges organisations face in connecting skills data, career development, and workforce planning into a cohesive strategy.\n\n## The future of work: humans and AI working together\n\nLooking ahead, Matthias believes AI will take over many operational and administrative tasks, freeing people to focus on creativity, strategy, relationship-building, and innovation.\n\nRather than replacing human talent, AI should complement it. The greatest value will come from combining AI's efficiency with uniquely human capabilities such as critical thinking, creativity, leadership, and empathy.\n\n## Advice for founders building in the AI era\n\nFor entrepreneurs launching new ventures today, Matthias believes one thing is clear: companies need to be AI-native from the start.\n\nHowever, technology alone is not enough. Founders must also build strong go-to-market strategies, leveraging sales, marketing, partnerships, and networks to create sustainable growth. Success will come from combining innovative AI products with effective execution and customer acquisition.\n\n## 🎥 Watch the full interview with Mattias Wolf and discover how AI is reshaping recruitment, talent acquisition, and the future of work.\n\n## 🌐 Explore Kampster AI – the platform for AI education, knowledge testing, and online learning – and develop the skills needed to thrive in an AI-powered workforce.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fgbbcup1C9qA\u002Fsddefault.jpg","2026-06-12T17:42:42Z","PT12M55S",[374],{"name":361,"url":375},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fmatthiaswolf\u002F",{"id":377,"title":378,"name":379,"position":380,"videoId":381,"description":382,"thumbnail":383,"publishedAt":384,"duration":385,"socialMedia":386},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy41Mzk2QTAxMTkzNDk4MDhF","Maija Tanner - Head of IBM data and AI","Maija Tanner","Head of IBM data and AI","8gQqxbE3wTs","## About the Expert\n\nMaija Tanner is Head of IBM, currently heading Data Platform, Data & AI Technology Ecosystem Partnerships and Growth for the Northern, Central, and Eastern Europe market. Based in Finland, she brings over 20 years of experience across supply chain management, sales leadership, strategic accounts, and IT delivery at both local and European levels.\nIn recent years, Maija has played a key role in building and scaling IBM’s ecosystem partnerships, working closely with system integrators, ISVs, distributors, and strategic technology partners. Her focus is on helping enterprises adopt data and AI technologies responsibly, securely, and at scale, turning innovation into measurable business value.\n\n## What does it really take to scale AI in large organizations?\n\nWhile many organizations are actively experimenting with AI and running numerous pilot projects, scaling AI across the entire organization remains a major challenge. Maija Tanner shares insights from IBM’s work with hundreds of clients and partners, explaining why moving from experimentation to production is still difficult — and what companies often overlook on that journey.\n\n## The three pillars of enterprise AI: cost, security, and governance\n\nMaija outlines three critical pillars that organizations must address to successfully scale AI:\n1. Cost and energy efficiency – Large language models are powerful, but expensive to train and operate. Maija explains why smaller, business-process-specific models often deliver better results with lower energy consumption.\n2. Data privacy and security – Enterprises must maintain full control over their data, especially when dealing with sensitive customer, employee, or citizen information.\n3. Data and AI governance – Clear guardrails, transparency, and explainability are essential to ensure ethical and compliant AI usage across cloud, private, and on-premise environments.\n\n## Consumer AI vs enterprise AI: why the rules are different\n\nWhile consumer AI focuses on creativity and convenience, enterprise AI operates under strict regulations, industry standards, and legal frameworks. Maija explains why AI for business requires a fundamentally different approach — one that prioritizes data sovereignty, intellectual property protection, and trust.\n\nShe also emphasizes the importance of defining clear business outcomes before choosing AI tools or technologies.\n\n## AI for people: enabling employees to do more meaningful work\n\nA central theme of the interview is AI for people. Maija highlights how AI can automate repetitive and manual tasks, allowing employees to focus on higher-value work such as analysis, innovation, and decision-making.\nRather than replacing people, AI should empower them — improving productivity while making everyday work more efficient and purposeful.\n\n## The future of AI, diversity, and continuous learning\n\nLooking ahead, Maija stresses the importance of diversity in AI development, particularly the need for more women in leadership and decision-making roles. Since many end users of products and services are women, diverse perspectives are essential for building better and more inclusive solutions.\nShe also encourages professionals and students to start learning and experimenting with AI early — using available tools, building simple agents, and demonstrating hands-on experience as part of their professional portfolio.\n\n## 🎥 Watch the full interview with Maija Tanner and learn what it really takes to scale AI responsibly inside large organizations.\n\n## 🌐 Explore Kampster AI — the platform for AI education, knowledge testing, and practical learning — and start building the skills needed for the future of enterprise AI.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F8gQqxbE3wTs\u002Fsddefault.jpg","2026-01-18T09:31:13Z","PT14M19S",[387],{"name":361,"url":388},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fmaija-tanner-4734bb8a\u002F",{"id":390,"title":391,"name":392,"position":393,"videoId":394,"description":395,"thumbnail":396,"publishedAt":397,"duration":398,"socialMedia":399},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy45NzUwQkI1M0UxNThBMkU0","Tom Meyers - Osteopath and Futurist Futures Explorer","Tom Meyers","Osteopath and Futurist Futures Explorer","C1diTH6PA3A","## About the Expert\n\nTom Meyers is an osteopath, futurist, and founder of the concept of Eustasis—a framework that explores how people can maintain balance while adapting to an increasingly fast-changing world. His work sits at the intersection of biology, psychology, culture, and future thinking, helping individuals and organisations build resilience in times of constant transformation.\n\nTom believes that while technology evolves rapidly, human biology evolves much more slowly. His mission is to help people strengthen their biological, mental, and emotional foundations so they can thrive—not merely survive—in the future.\n\n## How can humans stay balanced in a world that never stops changing?\n\nTechnology is accelerating at an unprecedented pace, but our bodies and minds aren't designed to adapt as quickly. In this thought-provoking conversation, Tom Meyers explains why resilience isn't just a psychological skill—it's a biological necessity.\n\nHe introduces the concept of Eustasis, a state of dynamic balance that allows people to recover quickly from stress, adapt to uncertainty, and make better decisions in an increasingly complex world.\n\n## Eustasis: balancing change instead of resisting it\n\nRather than trying to eliminate stress, Tom argues that the goal should be to improve our ability to recover from it. Constant pressure keeps our bodies in a reactive state, reducing creativity, decision-making, and our ability to embrace change.\n\nEustasis is about developing resilience across every aspect of life—physical, mental, emotional, and social—so that we remain adaptable as the future continues to evolve.\n\n## Why your biology shapes your future\n\nTom explains that many conversations about personal growth focus on mindset while overlooking the body itself. Yet biology is the foundation upon which our psychological, social, and spiritual well-being depends.\n\nWhen the body is under chronic stress, our thinking changes, our creativity declines, and we become less capable of navigating uncertainty. By prioritising recovery, relaxation, and physical well-being, we create the conditions for better thinking, stronger relationships, and more meaningful lives.\n\n## Building your personal DNA for the future\n\nOne of the central ideas in the interview is Tom's concept of a \"DNA for your Future.\" Rather than focusing on changing external circumstances, he encourages people to identify the core qualities that remain constant throughout their lives.\n\nBy understanding their potential, values, aspirations, and sense of purpose, individuals can create a stable foundation that allows them to adapt confidently to whatever the future brings.\n\n## Why AI-powered learning platforms matter\n\nAccording to Tom, lifelong learning has become essential in a rapidly changing world. AI-powered education platforms can personalise learning experiences, adapt to individual learning styles, and make knowledge available whenever people are ready to learn.\n\nHowever, technology alone isn't enough. People must take responsibility for their own growth, use these tools intentionally, and develop what Tom calls a \"future mindset\"—the ability to continuously learn, adapt, and evolve.\n\n## The future starts with human connection\n\nDespite the rapid advancement of AI, Tom believes that our greatest strength remains deeply human. Social connection, meaningful conversations, asking for help, and supporting one another are essential ingredients for resilience.\n\nHis advice is simple yet powerful: don't try to navigate the future alone. By combining technology with strong relationships, self-awareness, and continuous personal development, we can create a future where both people and innovation thrive.\n\n\n🎥 ## Watch the full interview with Tom Myers and discover how biology, resilience, and future thinking can help you thrive in an AI-driven world.\n\n🌐 ## Explore Kampster AI – the platform for AI education, knowledge testing, and online learning – and develop the skills needed to adapt, grow, and succeed in the future of work.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FC1diTH6PA3A\u002Fsddefault.jpg","2026-07-03T19:39:05Z","PT10M49S",[400],{"name":361,"url":401},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fmeyerstom\u002F",{"id":403,"title":404,"name":405,"position":406,"videoId":407,"description":408,"thumbnail":409,"publishedAt":410,"duration":411,"socialMedia":412},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy4zRjM0MkVCRTg0MkYyQTM0","Luca Berton - AI & Cloud Advisor, Former Vice President of Infrastructure at JPMorgan Chase & Co.","Luca Berton","AI & Cloud Advisor, Former Vice President of Infrastructure at JPMorgan Chase & Co.","uzrntwiORPw","## About the Expert\n\nLuca Berton is a technology leader, freelance CTO, author, and educator with extensive experience leading engineering teams at organisations including Red Hat and JPMorgan. Throughout his career, he has combined technical leadership with a passion for knowledge sharing, publishing books, creating video courses, and helping professionals stay ahead in the rapidly evolving technology landscape.\n\nAs an advocate for continuous learning and practical innovation, Luca believes that technology should empower people—not replace them. His work focuses on helping developers, engineers, and business leaders understand how AI, automation, and modern software development can be used to solve real-world challenges.\n\n## Will AI replace people—or make us better at what we do?\n\nArtificial intelligence is transforming the way we work, but according to Luca Berton, the future isn't about replacing humans—it's about amplifying human potential.\n\nIn this conversation, Luca shares his perspective on leadership, automation, continuous learning, and the future of work. Drawing on years of experience in software engineering and technology leadership, he explains why AI should eliminate repetitive tasks while enabling people to focus on creativity, strategy, and innovation.\n\n## Leadership in the age of continuous innovation\n\nTechnology evolves faster than ever before, making continuous learning one of the most valuable skills for every professional.\n\nLuca discusses his leadership philosophy, emphasizing collaboration over hierarchy. Rather than acting as a traditional manager, he believes leaders should work alongside their teams, encourage new ideas regardless of seniority, and foster an environment where innovation can come from anyone. He also shares why writing books and educational content has become an important way of giving back to the global technology community.\n\n## Automation, AI, and the human advantage\n\nWhile many fear that AI will replace jobs, Luca sees history telling a different story. Just as previous technological revolutions transformed industries rather than eliminating human work altogether, AI is changing the nature of work—not removing the need for people.\n\nHe explains how automation can eliminate repetitive, low-value tasks while AI acts as a powerful assistant. However, the most important decisions still require human judgment, critical thinking, and an understanding of context and nuance.\n\n## Why continuous learning is becoming the most valuable skill\n\nThe technology landscape changes so quickly that traditional education alone is no longer enough. While university degrees provide essential foundations, professionals must continuously update their knowledge through articles, online courses, videos, and hands-on experimentation.\n\nLuca shares his own habit of dedicating time every day to learning about emerging technologies and explains why those who embrace lifelong learning will remain at the forefront of the industry.\n\n## Data is the foundation of successful AI\n\nFor organisations beginning their AI journey, Luca highlights one critical principle: AI is only as good as the data behind it.\n\nMany companies still operate with isolated data across departments, making it difficult to unlock AI's full potential. He explains why organisations should first define clear business objectives, connect their data sources, and use AI to uncover patterns that lead to measurable business outcomes.\n\n## The future of work in an AI-powered economy\n\nLooking ahead, Luca believes work will increasingly shift toward a skills-based economy, where organisations focus on finding the right expertise at the right moment rather than relying on traditional organisational structures.\n\nAs AI takes over operational tasks, people will spend more time collaborating, solving complex problems, and delivering specialised knowledge. Success will depend on adaptability, continuous learning, and the ability to combine human creativity with AI-powered tools.\n\n## 🎥 Watch the full interview with Luca Berton and discover how AI, automation, and continuous learning are reshaping leadership, software engineering, and the future of work.\n\n## 🌐 Explore Kampster AI – the platform for AI education, knowledge testing, and online learning – and develop the skills needed to thrive in an AI-powered world.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FuzrntwiORPw\u002Fsddefault.jpg","2026-06-30T08:50:23Z","PT13M9S",[413],{"name":361,"url":414},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Flucaberton\u002F",{"id":416,"title":417,"name":418,"position":419,"videoId":420,"description":421,"thumbnail":422,"publishedAt":423,"duration":424,"socialMedia":425},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy45ODRDNTg0QjA4NkFBNkQy","PhD Thomas Chiu - The Chinese University of Hong Kong, top 2% cited education researcher and...","PhD Thomas Chiu","The Chinese University of Hong Kong, top 2% cited education researcher and...","Be68dmelzqg","## About the Expert\n\nProfessor Thomas Chiu is an edtech professor at The Chinese University of Hong Kong and a former government advisor on ICT policy. With a background in education and software engineering, he has built learning platforms and developed AI strategies for classrooms across Asia.\n\nHe is recognized as one of the top 2% most-cited researchers in the world in the field of education, according to global citation rankings.\n\nHis work focuses on adaptive learning environments, AI literacy, and the mental wellbeing of students in the digital age.\n\n## Artificial intelligence wasn't just artificial — but an alternative way of thinking about learning itself?\n\nAs AI enters classrooms worldwide, it's not enough to ask what it can do — we must ask how it changes the people who learn and teach with it. In this insightful conversation, Professor Thomas Chiu, a leading edtech expert from Hong Kong, argues that AI should be seen not as artificial intelligence, but as alternative intelligence — offering new perspectives, but never replacing human decision-making.\n\nFrom bridging the gap between teachers and students in the AI era, to rethinking the skills we truly need in the future, Professor Chiu challenges us to redefine both education and wellbeing in a world shaped by technology.\n\nGet ready to rethink AI's place in the classroom — not as the answer, but as part of the question.\n\n## What happens when AI becomes a student's learning partner?\n\nIn Professor Chiu's view, AI's role in education isn't to replace teachers or automate learning — it's to provide alternative perspectives that support human judgment. Much like YouTube recommends videos but leaves the final choice to the viewer, AI can suggest learning paths, but it's up to students and teachers to decide what's best.\n\nHe highlights two big challenges in today's classrooms:\n\n• A growing gap between students who actively use AI tools and teachers who are hesitant to allow them, and\n• The fact that most AI platforms, like ChatGPT or Zoom, were never designed for education in the first place.\n\nTo address this, Chiu calls for a shift in mindset. Education systems must embrace AI, but also prioritize students' mental and physical health, creating space for balance, outdoor activities, and human connection. AI can help monitor wellness — but it cannot replace it.\n\nLooking to the future, he envisions a three-level approach to AI in education:\n\n• AI for All: basic AI literacy for every student through school curricula.\n• AI for Some: additional learning for interested students through external platforms.\n• AI for Gifted Learners: advanced AI education through partnerships with industry and service providers.\n\nUltimately, he argues, education won't change overnight — but AI and students will change first, and schools will eventually follow.\n\n## 🎥 Watch the full interview with Professor Thomas Chiu in the video.\n\n## 🌐 Learn more about Kampster AI – the platform for testing, online learning, and AI-powered knowledge verification – and join the next generation of smart learners.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FBe68dmelzqg\u002Fsddefault.jpg","2025-07-16T08:32:05Z","PT16M34S",[426],{"name":361,"url":427},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fthomas-chiu-88469587\u002F",{"id":429,"title":430,"name":431,"position":432,"videoId":433,"description":434,"thumbnail":435,"publishedAt":436,"duration":437,"socialMedia":438},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy41QTY1Q0UxMTVCODczNThE","Neil Tan - Founder and Chairman of AI Hong Kong, Managing Partner of Tsunami Advisors","Neil Tan","Founder and Chairman of AI Hong Kong, Managing Partner of Tsunami Advisors","l5ri4M1iGf4","## About the Expert\n\nNeil Tan is the Founder and Chairman of AI Hong Kong (AIHK) and the Managing Partner of Tsunami Advisors, a leading advisory and consulting firm specializing in AI and Web3. With over 20 years of experience in Asia, Neil has a diverse background spanning major global institutions, including Siemens, Philips, BCG, Deutsche Bank, and HSBC.\n\nAt HSBC, he served as Head of Business Development for Digital Partnerships and Innovation, focusing on embedded finance. Today, through AIHK, Neil is dedicated to bridging the gap between academic innovation and corporate adoption, positioning Hong Kong as a premier global AI hub and center of excellence.\n\n## The Corporate Gap: Moving AI from Personal Use to Institutional Adoption\n\nWhile AI may seem simple for individual users, Neil Tan highlights the significant complexities of bringing AI into a corporate environment. In this interview, we discuss why AIHK focuses on the \"middle ground\"—the corporates and institutions that require robust frameworks to move from experimentation to true commercialization.\n\n## The Non-Negotiable Pillar: AI Safety and Governance\n\nIn a corporate setting, data is the lifeblood of the organization, making safety and governance paramount. Neil explains the risks of \"free-flowing\" data and the necessity of:\n\n- Preventing data leakage and managing systemic risk.\n- Ensuring model explainability and addressing algorithmic bias.\n- Implementing responsible AI practices that go far beyond simple productivity tools.\n\n## Regulation and Adoption: Where Innovation is Happening\n\nNeil provides a unique perspective on AI adoption across different sectors and functions:\n\n- The Inverse Rule: Less regulated sectors (like retail and marketing) are seeing rapid adoption and \"net new\" business models, while highly regulated sectors (finance, healthcare) face more hurdles.\n- Front vs. Back Office: Why the back office is currently the primary laboratory for AI, given the lower liability compared to client-facing roles.\n\n## The Convergence of Brain and Body: AI and Blockchain\n\nOne of the most compelling parts of the interview is Neil’s vision of technological integration. He describes Blockchain as the \"body\" (the infrastructure of tokenization and programmable money) and AI as the \"brain\" (the intelligence that controls the system). He argues that the future winners in the tech space will be those who successfully integrate both, rather than focusing on one in isolation.\n\n## Rewriting the Social Contract: AI in Education\n\nAs a board member of a leading educational institution in Hong Kong, Neil shares a provocative view on the future of learning. He suggests that AI is rewriting the traditional \"social contract\" of education.\nKey takeaways for the next generation include:\n\n- The diminishing returns of the traditional 4-year degree.\n- The shift from seeking \"knowledge for knowledge's sake\" to building with intention.\n- Why new graduates must lead with AI, whether they are entering a corporate career or starting their own entrepreneurial journey.\n\n## The AI Super-Cycle: Beyond the Hype\n\nIs there an AI bubble? Neil suggests we are actually in a \"super-cycle.\" While specific flavors like Generative AI might experience hype cycles, the broader field is constantly iterating with new applications in spatial AI and vertical AI that continue to climb the hill of productivity.\n\n## 🎥 Watch the full interview with Neil Tan to understand how AI and Web3 are converging to reshape global markets and the future of work.\n\n## 🌐 Explore Kampster AI — the platform for AI education, knowledge testing, and practical learning — and start building the skills needed for the future of enterprise AI.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fl5ri4M1iGf4\u002Fsddefault.jpg","2026-01-28T09:42:26Z","PT8M47S",[439],{"name":361,"url":440},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fneiltan1\u002F",{"id":442,"title":443,"name":444,"position":445,"videoId":446,"description":447,"thumbnail":448,"publishedAt":449,"duration":450,"socialMedia":451},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy41MzJCQjBCNDIyRkJDN0VD","PhD Janika Leoste - Tallinn University, Expert in Telepresence, Socially Assistive & Educational...","PhD Janika Leoste","Tallinn University, Expert in Telepresence, Socially Assistive & Educational...","dTpZ9x2vfFQ","## About the Expert\n\nProfessor Janika Leoste is Assistant Professor of Educational Robotics at Tallinn University and Associate Professor of IT Didactics at Tallinn University of Technology. After a successful 25-year career in the IT industry, she shifted her focus to education to help shape the next generation of learners.\n\nEstonia, where she works, is known globally for its educational innovation and student success in PISA rankings — something Leoste attributes to high teacher autonomy and active, hands-on learning methods.\n\nShe also leads the Edge of Space Lab at Tallinn University and works with robotics and STEAM education, helping young people build the creativity and critical thinking skills that will keep them competitive in a world driven by artificial intelligence.\n\n## Learning wasn't just about knowledge — but staying human in a world of machines?\n\nAs artificial intelligence moves deeper into classrooms, we risk forgetting something essential: learning is not just about facts and formulas, but about hands-on experience, social interaction, and human presence. In this inspiring conversation, Professor Janika Leoste, a leading voice in educational robotics, challenges us to rethink what truly makes learning meaningful.\n\nFrom giving students a \"body\" in remote learning, to redefining the role of teachers in the AI age, her insights remind us that technology alone is not enough. Education needs purpose, presence, and people who lead by example.\n\n## What happens when learning becomes disconnected from the real world?\n\nProfessor Leoste believes that as education moves into the digital and AI space, we risk creating learning environments where students are present virtually, but disconnected physically and socially.\n\nRemote learning without physical presence, she argues, creates a shallow learning experience. A student on a video call is just \"a picture on the wall.\" But give that student a telepresence robot — a body in the classroom — and suddenly they can move, interact, and truly engage.\n\nShe challenges the idea that more digital tools automatically mean better learning. Every new tool demands time, preparation, and new skills from teachers — and when educators are already overloaded, throwing new technology at them without support is simply a waste of time and resources.\n\nLeoste compares generative AI to alcohol: it feels powerful at first, giving you a temporary boost, but it doesn't solve your deeper problems. Long-term, meaningful learning requires human effort, reflection, and real-life context. AI can help, but only if we understand when and why to use it.\n\nLooking to the future, she argues that equity in learning environments — whether physical or virtual — will be essential. Students learning remotely and those in the classroom must feel equal, engaged, and motivated to learn. Teachers, too, must reclaim their role as role models, inspiring students not only through knowledge, but by challenging them, working alongside them, and showing what it means to grow as a human being.\n\nBecause in the end, she says, education is not about technology — it's about people.\n\n## 🎥 Watch the full interview with Professor Janika Leoste in the video.\n\n## 🌐 Learn more about Kampster AI – the platform for testing, online learning, and AI-powered knowledge verification – and join the next generation of smart learners.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FdTpZ9x2vfFQ\u002Fsddefault.jpg","2025-07-14T06:36:15Z","PT12M27S",[452],{"name":361,"url":453},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fjanika-leoste-56b45822a\u002F",{"id":455,"title":456,"name":457,"position":458,"videoId":459,"description":460,"thumbnail":461,"publishedAt":462,"duration":463,"socialMedia":464},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy4wMTcyMDhGQUE4NTIzM0Y5","Prof. Dr. Zsolt Lavicza - Johannes Kepler University, Linz, Austria, Ex University of Cambridge...","Prof. Dr. Zsolt Lavicza","Johannes Kepler University, Linz, Austria, Ex University of Cambridge...","PsioW7WbuUg","## About the Expert\n\nZsolt Lavicza is Professor of STEAM Education and Research Methods at Johannes Kepler University Linz, Austria. He leads the university's doctoral school, training the next generation of educational technology researchers from around the world.\n\nOriginally trained in mathematics and physics, he transitioned from a career in applied mathematics to mathematics education, earning his PhD from the University of Michigan. He spent over a decade at the University of Cambridge and helped grow GeoGebra, one of the world's most widely used educational platforms with over 100 million users globally.\n\nToday, Lavicza leads research and international projects focused on teacher training, STEAM integration, and ethical, creative uses of AI tools in education.\n\n## What if the future of learning is about creativity — not just technology?\n\nIn a world where artificial intelligence and educational technology are rapidly advancing, what truly matters is how we inspire students to solve problems that matter to them. In this inspiring conversation, Professor Zsolt Lavicza, a leading voice in STEAM education and educational research, shares why the real power of AI in education lies not in automation, but in empowering students and teachers to think differently.\n\nFrom his work with over 100 million users of GeoGebra, to global projects in Europe, Africa, and Latin America, Lavicza explains how teacher confidence, transdisciplinary learning, and creative problem-solving shape the classrooms of tomorrow.\n\n## How does AI unlock student creativity — and why teacher confidence is key\n\nProfessor Lavicza believes that before we introduce AI in education, we must first build teacher confidence with technology. Too often, he says, teachers hesitate to use educational technology because they feel less skilled than their students. But when teachers and students collaborate — learning together, asking questions, and solving real-world problems — technology becomes a bridge, not a barrier.\n\nThrough projects in Uganda, Latin America, and Europe, Lavicza has seen that limited resources often spark greater creativity. Students without constant access to technology are more resourceful and innovative than those who take it for granted.\n\nHe also emphasizes the need for transdisciplinary learning, where students combine science, technology, arts, and humanities to solve complex problems — just like in the real world. Schools, he argues, are the last places where rigid subject boundaries still exist.\n\n## Why AI is not artificial intelligence, but \"assisted intelligence\"\n\nLavicza urges educators to see AI not as something mystical, but as a tool — a form of assisted intelligence that can support learning when used ethically and thoughtfully. In his view, AI should empower teachers and students, not replace them.\n\nThe key, he says, is to let students pursue their interests, work on meaningful projects, and learn how to use AI as a creative partner, not just a tool for automation.\n\n## 🎥 Watch the full interview with Professor Zsolt Lavicza and learn how AI and STEAM education are transforming learning worldwide.\n\n## 🌐 Explore Kampster AI – the platform for AI education, online learning, and knowledge testing – and build the skills that shape the future of education.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FPsioW7WbuUg\u002Fsddefault.jpg","2025-07-14T06:34:55Z","PT7M47S",[465],{"name":361,"url":466},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fzsolt-lavicza-22993213\u002F",{"id":468,"title":469,"name":470,"position":471,"videoId":472,"description":473,"thumbnail":474,"publishedAt":475,"duration":476,"socialMedia":477},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy4yODlGNEE0NkRGMEEzMEQy","Tanja Eschberger Friedl - Expert in innovation and organizational development","Tanja Eschberger Friedl","Expert in innovation and organizational development","Yh6Q0dmVGTg","## About the Expert\n\nTanja Eschberger Friedl is the Chief Operating Officer at Lead Innovation, an Austrian innovation consultancy working globally across industries. With a strong background in innovation management, agile frameworks, and organizational transformation, she helps companies—from financial institutions to consumer brands—rethink how they approach change, technology, and sustainable growth.\n\n## The Future of Business Belongs to Those Who Build Innovation Culture\n\nTrue innovation doesn't start with technology—it starts with people. In this insightful interview, Tanja Eschberger Friedl, COO of Lead Innovation, shares how companies can create lasting change by building the right mindset and culture. Drawing on her work across finance, automotive, FMCG, and construction industries, she explains how even the most traditional businesses can thrive in a world shaped by AI and emerging technologies.\n\nFor Tanja, innovation culture beats strategy every time. Companies often focus on tools and processes, but without empowered employees, open-minded leadership, and a safe space to experiment, no strategy will succeed. Innovation flourishes when people feel trusted to drive change.\n\nAgility plays a critical role in helping businesses adapt to fast-changing customer needs. Methods like Scrum aren't just frameworks—they're mindsets that keep organizations close to their customers and responsive to new opportunities.\n\nBut technology alone isn't enough. Tanja warns that too many companies use AI to make existing processes more efficient, missing the bigger picture. The real opportunity lies in using AI to reinvent products, services, and even business models—creating entirely new value for customers and society.\n\nThe organization of the future will be one that never stops learning, welcomes change, and uses AI not just to optimize, but to imagine what's possible. It's a company where innovation isn't an initiative—it's how business gets done.\n\n## 🎥 Watch the full interview with Tanja Eschberger Friedl to learn how to future-proof your organization.\n\n## 🌐 Explore Kampster AI – the first AI-powered platform in Europe for skill testing, online learning, and innovation-driven growth.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FYh6Q0dmVGTg\u002Fsddefault.jpg","2025-07-14T06:32:04Z","PT6M29S",[478],{"name":361,"url":479},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Ftanja-eschberger-friedl\u002F",{"id":481,"title":482,"name":483,"position":484,"videoId":485,"description":486,"thumbnail":487,"publishedAt":488,"duration":489,"socialMedia":490},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5GNjNDRDREMDQxOThCMDQ2","Dr. Miodrag Todorovic - Director of Panafricare Pty - Saychelles","Dr. Miodrag Todorovic","Director of Panafricare Pty","wqMjPddNZPc","## About the Expert\n\nDr. Miodrag Todorović is a cardiothoracic surgeon and founder of Pain Free Care, a telemedicine company based in the Seychelles. After years of performing advanced surgeries across multiple countries, he shifted his focus to the digital transformation of healthcare — particularly for remote and underserved communities.\n\nFrom creating virtual clinics in island resorts to improving continuous medical education with AI tutors, Dr. Todorović is pioneering ways to bring digital healthcare to those who need it most.\n\n## What if every island in the world could have a virtual doctor — instantly?\n\nImagine a future where no matter how remote your location is, a doctor and advanced diagnostics are just one click away. In this inspiring conversation, Dr. Miodrag Todorović, cardiothoracic surgeon and founder of Pain Free Care, explains how AI in healthcare and telemedicine are transforming access to medical care for isolated communities — starting with the Seychelles archipelago.\n\nWith decades of experience in complex surgeries and a passion for healthcare innovation, Dr. Todorović shares how digital healthcare platforms, remote diagnostics, and AI-powered virtual tutors are creating the most democratized healthcare and education systems in history.\n\n## How AI and telemedicine make healthcare truly global\n\nThe Seychelles islands are scattered across the Indian Ocean, with many communities isolated by geography. Traditional healthcare models can't reach every remote island, resort, or village. But thanks to high-speed internet and telemedicine platforms, Dr. Todorović's company is building virtual clinics where patients can access doctors and diagnostic tools instantly.\n\nThe medical challenges are universal: chronic diseases like heart conditions, diabetes, and cancer dominate the health landscape, just as they do elsewhere in the world. But the solutions now come from AI-powered point-of-care diagnostics, real-time data sharing, and virtual consultations that reduce the need for long travel.\n\n## AI transforms medical education: from privilege to universal access\n\nMedical professionals worldwide face a constant need for continuous learning. In the past, this meant traveling to faraway universities or spending hours in traditional classrooms. But today, AI-driven education platforms can track your learning progress, assess your understanding, and personalize your study plan — just like a private tutor, once reserved for royalty.\n\nDr. Todorović describes this as one of the greatest democratizations of education:\n\n\"Now, every doctor, nurse, or technician can have an AI tutor analyzing their skills, adjusting learning goals, and helping them improve in real time.\"\n\nIn the future, continuous medical education won't just be about hours spent in front of a screen, but about real learning outcomes measured by AI through engagement and performance.\n\n## 🎥 Watch the full interview with Dr. Miodrag Todorović and explore how AI is revolutionizing healthcare and education in the world's most remote places.\n\n## 🌐 Discover Kampster AI – the platform for AI education, knowledge testing, and online learning – and join the next generation of healthcare innovators.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FwqMjPddNZPc\u002Fsddefault.jpg","2025-07-14T06:35:26Z","PT6M6S",[491],{"name":361,"url":492},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fmiodrag-todorovic-md-077b916\u002F",{"id":494,"title":495,"name":496,"position":497,"videoId":498,"description":499,"thumbnail":500,"publishedAt":501,"duration":502,"socialMedia":503},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5DQUNERDQ2NkIzRUQxNTY1","Daniel Zapfl - Austrian consultant, executive director of LEAD Innovation Management GmbH","Daniel Zapfl","Austrian consultant, executive director of LEAD Innovation Management GmbH","reJCrxVA2P4","## About the Expert\n\nDaniel Zapfl is the General Manager of Lead Innovation, an internationally recognized innovation consultancy based in Vienna, Austria. With over a decade of experience helping global companies and public sector organizations shape their innovation strategies, Daniel specializes in combining foresight, agile innovation management, and emerging technologies to build sustainable competitive advantage.\n\n## The Future of Innovation: Where AI Guides Human Creativity\n\nIn the world of innovation, the biggest challenge isn't coming up with ideas—it's deciding which ones to bring to life. Daniel Zapfl, General Manager of Lead Innovation, explains how companies can transform their approach to innovation by combining human creativity with the power of AI.\n\nToday's organizations are full of ideas, but many struggle to empower their teams to make bold, strategic decisions. The true test of innovation isn't the quantity of ideas generated, but the ability to recognize and execute the ones that matter. For most companies, the missing piece is a system that supports faster, smarter decision-making.\n\nThis is where AI-powered foresight changes the game. Traditional foresight processes—manually collecting trends and insights—were slow and limited in scope. Now, artificial intelligence enables continuous monitoring of global trends, analyzing megatrends and market signals in real-time. AI acts as a digital expert, helping leaders make better long-term decisions by identifying patterns and opportunities faster than ever before.\n\nAccording to Daniel, the future of innovation management will be radically different. In the next five to ten years, innovation cycles will shift from slow and reactive to fast and proactive. AI will help organizations not only gather ideas but also prioritize, test, and scale them more efficiently.\n\nPerhaps the most exciting shift is yet to come. While today, humans use AI to support innovation, tomorrow, AI will play a guiding role—helping people make better strategic choices and uncover opportunities they couldn't see on their own.\n\nWatch the full interview with Daniel Zapfl and discover how AI-powered foresight is reshaping the future of innovation.\n\n## 🎥 Watch the full interview with Daniel Zapfl to learn how foresight and AI are transforming global innovation strategies.\n\n## 🌐 Explore Kampster AI – Europe's first AI-powered platform for skill testing, continuous learning, and future-driven decision making.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FreJCrxVA2P4\u002Fsddefault.jpg","2025-07-14T06:35:51Z","PT3M54S",[504],{"name":361,"url":505},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fdaniel-zapfl-241424b2\u002F",{"id":507,"title":508,"name":509,"position":510,"videoId":511,"description":512,"thumbnail":513,"publishedAt":514,"duration":515,"socialMedia":516},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy40NzZCMERDMjVEN0RFRThB","Ibon Zugasti - Spanish expert in strategic foresight and futures research, deputy director...","Ibon Zugasti","Spanish expert in strategic foresight and futures research, deputy director...","yOZxYwnuXKI","## About the Expert\n\nIbon Zugasti is a futurist, policy advisor, and one of the leading voices in global foresight. He serves as:\n\n• Deputy Director of the Millennium Project, the largest network for futures research worldwide.\n• Director of Prospecticare, a European institute focused on long-term strategic planning and technology foresight.\n• Advisor to governments and the United Nations on AI governance and global technological transitions.\n\nHe has worked on international futures scenarios for over two decades and actively participates in shaping the ethical frameworks for AI and AGI at global forums.\n\n## What Happens When Artificial Intelligence Writes Its Own Future?\n\nArtificial Intelligence is no longer just a tool—it is becoming a force capable of shaping its own destiny. In this eye-opening conversation, Ibon Zugasti, Deputy Director of the Millennium Project, the world's largest futures research network, and Director of Prospecticare, explains why the next decade will be defined by the rise of Artificial General Intelligence (AGI)—a technology capable of making decisions, writing its own code, and redefining industries and societies alike.\n\nFrom the global economy to the future of work, from ethical dilemmas to reskilling humanity, Zugasti explores the profound questions we must answer before AGI changes our world forever.\n\n## AGI: Humanity's Next Challenge\n\nZugasti draws a powerful analogy: today's AI is like a child following instructions; tomorrow's AGI will be like a teenager making its own choices. This transition, expected within the next 5 to 10 years, will affect every sector of society—from healthcare breakthroughs to job market disruptions.\n\nKey industries, especially labor-intensive ones, will face radical transformation. The future of work will shift toward entrepreneurship and autonomous employment, where people won't just look for jobs—they'll create new markets and startups.\n\n## Why Continuous Learning and Ethics Matter More Than Ever\n\nTo prepare for this shift, Zugasti argues that we must embrace lifelong learning and focus on human-centric skills like critical thinking, empathy, and ethical reasoning—qualities machines cannot replicate. Education systems need a complete reset, transforming from static institutions into dynamic learning ecosystems for all stages of life.\n\nCrucially, the world must move beyond regulating today's narrow AI and begin designing the ethical values of future AGI—before it defines them itself. Zugasti is one of the voices calling for a UN-led global dialogue on AGI governance.\n\n## 🎥 Watch the full interview with Ibon Zugasti to learn why the next 10 years could define humanity's relationship with AI forever.\n\n## 🌐 Discover Kampster AI – the platform for testing, learning, and developing future-proof skills for the AI era.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FyOZxYwnuXKI\u002Fsddefault.jpg","2025-07-14T06:31:19Z","PT15M44S",[517],{"name":361,"url":518},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fibon-zugasti-27543213\u002F",{"id":520,"title":521,"name":522,"position":523,"videoId":524,"description":525,"thumbnail":526,"publishedAt":527,"duration":528,"socialMedia":529},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy45NDk1REZENzhEMzU5MDQz","Dr Filiz Mumcu - Linz School of Education, STEM Didactics Department","Dr Filiz Mumcu","Linz School of Education, STEM Didactics Department","tKe43WJ6H34","## About the Expert\n\nDr. Filiz Mumcu is an educational researcher at Johannes Kepler University in Linz, Austria, with 25 years of experience in educational technology. She holds a PhD in Computer Education and Instructional Technology and is recognized as a leading voice in the field of educational technology advancement.\n\n## What if the way we learn today is already outdated?\n\nAs technology accelerates, classrooms are transforming—and so are the minds inside them. In this thought-provoking conversation, Dr. Filiz Mumcu, a leading expert in educational technology, reveals how artificial intelligence is not just a tool, but a force reshaping the very fabric of education. From generational learning gaps to the future of universities, her insights challenge everything we thought we knew about teaching and learning.\n\nGet ready to see the classroom through a brand new lens.\n\nTechnology has irreversibly transformed education — not only for students, but also for teachers and education system leaders. Digital innovations have opened the door to incredible opportunities, while also introducing challenges that traditional education systems were never prepared for.\n\nToday's educators receive both support and added pressure. While digital tools streamline and accelerate many processes, they also demand constant adaptation, ongoing training, and the development of new teaching approaches. AI education is reshaping how we teach and learn, but it also raises questions about the depth and quality of knowledge retention.\n\n## Generational Learning Gaps\n\nGenerational differences among students have become more pronounced than ever. Each new group of learners brings a different set of skills, attention spans, and learning styles. Dr. Filiz illustrates this through her own daughters, who, despite being raised in the same household, each developed completely different approaches to learning. Today's students are problem-solvers by nature — they turn to online learning resources, such as YouTube, to find targeted solutions in real-time.\n\n## AI: A Double-Edged Sword\n\nArtificial intelligence emerges as both a powerful ally and a potential risk. While AI can significantly reduce teacher workload — especially in content creation and knowledge testing — it also raises concerns about its impact on students. When the learning process becomes too easy, it eliminates what Dr. Filiz refers to as the \"optimal cognitive load.\" Without mental challenges, true learning can't occur.\n\n## The Future of Education\n\nModern education is increasingly focused on preparing learners for real-world jobs. The relationship between education and business has never been stronger. AI-powered education and micro-credentials are emerging as responses to modern companies' need for fast, effective skill testing and flexible knowledge acquisition.\n\nDr. Filiz predicts that within the next 10 years, many of today's traditional university programs will no longer exist in their current form. Instead, education will move toward personalized learning, where students choose what, when, and how to learn, guided by AI education platforms and adaptive systems.\n\nThe future of education is hybrid. A mix of physical and online learning, supported by AI, will become the new norm. At the center of this transformation is self-regulated learning – the ability for students to understand, manage, and improve their own learning processes.\n\n## 🎥 Watch the full interview with Dr. Filiz Mumcu in the video.\n\n## 🌐 Learn more about Kampster AI – the platform for testing, online learning, and AI-powered knowledge verification – and join the next generation of smart learners.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FtKe43WJ6H34\u002Fsddefault.jpg","2025-07-14T06:42:21Z","PT15M5S",[530],{"name":361,"url":531},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Ffiliz-mumcu-8b995153\u002F",{"id":533,"title":534,"name":535,"position":536,"videoId":537,"description":538,"thumbnail":539,"publishedAt":540,"duration":541,"socialMedia":542},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy45RTgxNDRBMzUwRjQ0MDhC","Dylan Bristot - Senior AI Product Marketing Manager, Nebius","Dylan Bristot","Senior AI Product Marketing Manager, Nebius","FkBILDtOG4s","## About the Expert\n\nDylan Bristot is the Senior AI Product Marketing Manager at Nebius, where he focuses on bridging the gap between high-performance AI infrastructure and the market. With a background in hyper-growth sectors like Cybersecurity and Fintech, Dylan specializes in translating complex technical solutions into marketable, value-driven outcomes. At Nebius, he works at the intersection of machine learning engineering and business strategy, helping organizations navigate the shift from AI hype to concrete implementation.\n\n## The Core Challenge: Translating Complexity into Outcomes\n\nDoes the role of a Product Marketer change when you enter the world of AI? Dylan Bristot argues that while the fundamental goal—translating technical specs into public-facing value—remains the same, the pace has accelerated beyond anything seen in Cybersec or Fintech. In this interview, we explore how to stay relevant in an industry where the \"latest\" models can become obsolete in months.\n\n## Beating the Hype: The ROI of Outcome-Based AI\n\nThe AI industry is currently saturated with \"overpromising\" and noise. Dylan emphasizes that the only way to truly distinguish a successful AI product is through its tangible return on investment (ROI).\nKey insights include:\n\n- Moving beyond \"selling the vision\" to showing day-to-day process efficiency.\n- Replicating the \"Aha!\" moment: How tools like ChatGPT and Claude have lowered the barrier for people to understand the value of LLMs.\n- Why startups should start with the expected outcome rather than the model.\n\n## Building a Go-To-Market Strategy: Outcome First, Model Second\n\nA common pitfall for AI startups is \"falling in love with the model\" before defining the problem. Dylan outlines a more strategic approach:\n\n1. Define the specific business achievement.\n2. Break it down into sub-tasks.\n3. Select the provider and model based on speed, cost, and specific task requirements.\n\n## The Education Challenge: Upskilling in a Fast-Paced Industry\n\nEducating professionals across HR, Finance, and Marketing is one of the industry's biggest bottlenecks. Dylan discusses the \"three-fold problem\" of AI education:\n\n- Overcoming the initial hype.\n- Breaking long-standing habits and processes.\n- Staying up-to-date with the blistering pace of new releases.\n\nHe highlights the crucial role of AI education platforms in doing the \"heavy lifting\" of breaking down complex tasks into actionable learning paths.\n\n## Marketing the \"Invisible\" Layer: Hardware and Sovereignty\n\nMost users interact with the software layer, but Dylan sheds light on the critical infrastructure powering the \"brains\" of AI. We discuss:\n\n- Why data centers, chips, and servers matter to the end-user.\n- The rise of \"Sovereign AI\" in Europe: Why data location and sustainability are becoming key competitive advantages.\n- Speaking \"Hardware language\" to an audience that only speaks \"Software.\"\n\n## Advice for the Ecosystem: Building Dynamic Learning\n\nDylan offers a strategic tip for those building AI curriculums: Education must be as dynamic as the technology itself. A \"solid\" class today might be out of date in six months, requiring a move away from static facts toward a curriculum that evolves alongside industry breakthroughs.\n\n## 🎥 Watch the full interview with Dylan Bristot to learn how to bridge the gap between AI infrastructure and business value.\n\n## 🌐 Explore Kampster AI — the platform for AI education, knowledge testing, and practical learning — and start building the skills needed for the future of enterprise AI.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FFkBILDtOG4s\u002Fsddefault.jpg","2026-02-27T03:46:52Z","PT10M8S",[543],{"name":361,"url":544},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fdylanbristot\u002F",{"id":546,"title":547,"name":548,"position":549,"videoId":550,"description":551,"thumbnail":552,"publishedAt":553,"duration":554,"socialMedia":555},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5ENDU4Q0M4RDExNzM1Mjcy","Dr Christina Popescu - Lecturer and Researcher, Bielefeld University Germany","Dr Christina Popescu","Lecturer and Researcher, Bielefeld University Germany","6-24IMTeq9E","## About the Expert\n\nDr. Christina Popescu is a Lecturer and Researcher at Bielefeld University in Germany, specializing in inclusive education and educational technology. With extensive experience working on high-level projects for the European Union and UNESCO, her work focuses on special needs and the integration of technologies in mainstream schools to support children with disabilities. She is a leading voice in rethinking how pedagogical support must accompany digital tools to ensure true inclusion.\n\n## True Inclusion: More Than a Standard Recipe\n\nWhat does inclusion in education actually mean? Dr. Christina Popescu argues that inclusion is not a \"standard recipe\" but a method driven by pluralistic thinking. In this interview, we explore why inclusion must be adapted to specific environments, configurations, and the unique participants involved, rather than being a rigid set of rules.\n\n## The AI Adventure: Personalization and Universal Design for Learning (UDL)\n\nWe are currently at the \"beginning of an adventure\" with Generative AI. Dr. Popescu discusses the transformative potential of AI in the classroom, specifically through:\n\n- Universal Design for Learning (UDL): How AI tools can help teachers implement flexible learning environments that accommodate all students.\n\n- AI Assistants for Teachers: How educators are using AI to brainstorm ways to help diverse learners achieve their specific learning objectives.\n\n- Enhanced Personalization: Moving beyond generic content to create educational experiences tailored to individual needs.\n\n## The Implementation Gap: Why Technology Isn't a \"Silver Bullet\"\n\nA common mistake in educational institutions is the \"set it and forget it\" approach—providing technology without additional support. Dr. Popescu highlights the critical need for:\n\n- Pedagogical Support: Technology cannot solve everything on its own; it requires a strong pedagogical framework.\n\n- Group Inquiry: Developing a collective understanding among teachers, students, and parents about what technology can actually do for them.\n\n- Research-Backed Implementation: Moving away from the impression that tools are a standalone solution for complex educational challenges.\n\n## Developing for Diversity: Avoiding the \"Pattern\" Trap\n\nFor those developing EdTech and AI solutions, Dr. Popescu offers a challenge: go beyond standard accessibility guidelines.\n\n- Pluralism of Use: Instead of following one standard line, developers should keep the diversity of contexts and situations in mind.\n\n- Breaking the Pattern: The biggest problem in design occurs when we force diverse individuals to fit into a single, standardized pattern.\n\n- Value-Driven Development: The importance of collaboration between developers, pedagogues, and researchers to ensure technology reflects inclusive values.\n\n## Preparing for the Future: It Starts with Daily Interaction\n\nWhile many debate how to prepare learners for a distant future, Dr. Popescu suggests that the \"future is already here.\" She emphasizes that our preparation for what comes next is rooted in our daily interactions and how we utilize tools today. By paying attention to these micro-interactions, we shape the skills necessary for the evolving educational landscape.\n\n## 🎥 Watch the full interview with Dr. Christina Popescu to discover the research-based approach to building truly inclusive AI in education.\n\n## 🌐 Explore Kampster AI — the platform for AI education, knowledge testing, and practical learning — and start building the skills needed for the future of enterprise AI.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F6-24IMTeq9E\u002Fsddefault.jpg","2026-02-27T06:39:16Z","PT6M43S",[],{"id":557,"title":558,"name":559,"position":560,"videoId":561,"description":562,"thumbnail":563,"publishedAt":564,"duration":565,"socialMedia":566},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy41MjE1MkI0OTQ2QzJGNzNG","Nadav Avidan - Ex Global Head of PR at Viber","Nadav Avidan","Ex Global Head of PR at Viber","SDAvEWaWWvM","## About the Expert\n\nNadav Avidan is a seasoned communications strategist with over 15 years of experience leading global PR and communication teams. He has shaped the narratives of household names like Viber and Walmart, and now serves as Sr. PR & Communications Manager at TextNow, one of North America's fastest-growing telecom platforms.\n\n## Why Communication in the AI Era Still Needs Human Creativity\n\nAs artificial intelligence transforms how brands communicate, one thing remains unchanged: authentic storytelling is what truly connects with people. Nadav Avidan, global communications expert behind brands like Viber and Walmart, shares why human creativity—not algorithms—drives meaningful conversations in the digital world.\n\nGenerative AI is a powerful tool that speeds up tasks like writing press releases and analyzing results. But Nadav compares it to the invention of the car: it opens new horizons, yet still needs a driver. In communications, that driver is the person crafting the message, finding the narrative, and sparking emotion.\n\nFar from replacing authenticity, AI highlights its importance. What makes a story resonate isn't just the words—it's the intent, emotion, and human connection behind them. While AI can help create content, only people can craft meaning.\n\nFor Nadav, every brand must answer three essential questions:\n\n• Do people know your brand?\n• Do they like it?\n• Do they want to engage with it?\n\nThe answers shape whether your focus should be on raising awareness, improving brand sentiment, or driving engagement—whether you're a global brand like Viber or a startup like TextNow.\n\nLooking ahead, the future of communication belongs to those who focus on creativity and storytelling, letting AI handle the operational tasks. In a noisy digital world, the brands that win hearts and minds will be the ones led by humans who know how to tell powerful stories.\n\n## 🎥 Watch the full interview with Nadav Avidan to learn how to tell better stories in the AI era.\n\n## 🌐 Discover Kampster AI – your platform for testing, AI-powered education, and real-time communication skill development.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FSDAvEWaWWvM\u002Fsddefault.jpg","2025-07-14T06:32:39Z","PT10M37S",[567],{"name":361,"url":568},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fnadavavidan\u002F",{"id":570,"title":571,"name":572,"position":573,"videoId":574,"description":575,"thumbnail":576,"publishedAt":577,"duration":578,"socialMedia":579},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy4zMDg5MkQ5MEVDMEM1NTg2","PhD Sergei Markochev - Lead Data Scientist @ Phaidon, London, PhD in Experimental Nuclear Physics...","PhD Sergei Markochev","Lead Data Scientist @ Phaidon, London, PhD in Experimental Nuclear Physics...","sj4r0IqA_To","## About the Expert\n\nSergei Markochev is Lead Data Scientist at Phaidon International, a global recruitment company. He holds a PhD in nuclear physics from the Moscow Institute of Physics and Technology and has over a decade of experience in data science, working across industries such as green energy, media, and investment consulting in London.\n\nAt Phaidon, Sergei applies machine learning and large language models (LLMs) to improve candidate-job matching, build predictive models for business forecasting, and develop real-time business intelligence tools for recruitment consultants.\n\n## What happens when AI helps you find the right people — before you even start looking?\n\nArtificial intelligence is quietly transforming one of the oldest industries in the world — recruitment. In this insightful conversation, Sergei Markochev, Lead Data Scientist at Phaidon International, one of the world's largest recruitment agencies, explains how AI is changing the way companies find and assess talent.\n\nFrom predictive analytics to AI-powered candidate screening, Sergei shares how modern recruitment teams use data science not only to fill jobs faster, but to predict market trends and improve the performance of recruiters themselves.\n\n## How AI transforms recruitment from manual work to smart insights\n\nRecruitment is still largely built on CVs and interviews, especially in the technology and finance sectors where Phaidon operates. But Sergei explains that AI in recruitment is rapidly changing one key part of the process: candidate screening.\n\nAI-powered algorithms now help match CVs to job descriptions, quickly suggesting qualified candidates. But Sergei emphasizes: the final decision remains human. Recruiters still speak with candidates, assess cultural fit, and build personal relationships — parts of the process that AI can't replace.\n\nBeyond automation, Sergei and his team use predictive analytics to forecast market activity months in advance, helping recruitment teams understand hiring trends before they happen.\n\n## What's next for AI in talent acquisition?\n\nSergei believes the next challenge isn't the technology — it's the data quality. Recruitment data is messy, often full of human errors, missing steps, or inconsistent updates. Without clean data, no AI system can deliver accurate predictions.\n\nHe also points out that personalized AI assessments — like real-time knowledge tests — already exist, but standardization remains critical. When companies assess candidates, they need comparable results, not completely different questions for every person.\n\nSergei argues that AI education and online learning platforms play a key role in preparing employees to work with AI tools in recruitment, predictive analytics, and cybersecurity. Regular upskilling, clear use cases, and real-world practice are essential for future-proof talent.\n\n## 🎥 Watch the full interview with Sergei Markochev and learn how AI is shaping the future of recruitment.\n\n## 🌐 Explore Kampster AI – the platform for AI education, knowledge testing, and online learning – and develop the skills that keep you ahead of tomorrow's hiring trends.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fsj4r0IqA_To\u002Fsddefault.jpg","2025-07-16T08:37:54Z","PT17M38S",[580],{"name":361,"url":581},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fsergei-markochev-phd-9419797a\u002F",{"id":583,"title":584,"name":585,"position":586,"videoId":587,"description":588,"thumbnail":589,"publishedAt":590,"duration":591,"socialMedia":592},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5EQUE1NTFDRjcwMDg0NEMz","Jean Arnaud - Director of Strategic Growth, Cambridge Innovation Center","Jean Arnaud","Director of Strategic Growth, Cambridge Innovation Center","pir1GwAk6yo","## About the Expert\n\nJean Arnaud is the Director of Strategic Growth for the Cambridge Innovation Center (CIC) and the co-founder of a specialized hub focused on Responsible AI. With a deep background in academia as a philosopher, Jean transitioned into the innovation sector with the belief that philosophy should not just think about the world, but actively build it.\n\nAt CIC, he leverages a global network of 10,000 innovators across 10 campuses to solve complex problems for companies and governments, always through the lens of humanistic values and conscious technology.\n\n## Philosophy as the Foundation of Technology\n\nWhy does an innovation leader start with philosophy? In this interview, Jean Arnaud explores the idea that technology should be the physical embodiment of a human vision. We discuss why every strategy needs a predefined philosophy; without it, organizations risk moving toward goals they haven't truly questioned or defined.\n\n## The Evolution of Art: From Static to Dynamic Orchestration\n\nAI is fundamentally changing the role of the artist. Jean explains how we are moving away from static art toward dynamic, immersive, and collaborative experiences.\n\nKey insights include:\n- The artist as an \"orchestrator\" of different mediums.\n- Why AI cannot create \"deep art\" without a human brain and meaningful intent behind it.\n- How technology forces us to rediscover what it truly means to be an artist.\n\n## Responsible AI: Science with a Conscience\n\n\"Science without conscience\" is a risk in the age of big data. The interview highlights the necessity of \"Responsible AI\"—technology designed for the good of people and the environment, rather than just financial gain.\nJean references recent industry news to emphasize a critical point: the human must remain central to the process to check, validate, and provide the critical judgment that machines lack.\n\n## AI in Education: Opening Doors to Curiosity\n\nEducation is the process of \"becoming yourself.\" We dive into how AI and educational platforms serve as tools to:\n\n- Open doors to curiosity and diverse knowledge.\n- Connect learners with mentors and passionate collaborators.\n- Empower individuals to reach their full potential by deepening their specific skills and interests.\n\n## The Future: Toward Collaborative Super-Intelligence\n\nRather than a \"man vs. machine\" narrative, Jean envisions a future of collaborative intelligence. By using AI to handle analytical and logic-heavy tasks, humans are freed to focus on creativity, critical thinking, and inventing a new world. This \"super-intelligence\" is seen as an extension of our own power, helping us take the best possible decisions for humanity.\n\n## 🎥 Watch the full interview with Jean Arnaud to discover how the \"right mindset\" and philosophical inquiry are the most important tools in the digital age.\n\n## 🌐 Explore Kampster AI — the platform for AI education, knowledge testing, and practical learning — and start building the skills needed for the future of enterprise AI.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fpir1GwAk6yo\u002Fsddefault.jpg","2026-01-28T09:42:47Z","PT8M35S",[593],{"name":361,"url":594},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fjean-arnaud-14887b1b4\u002F",{"id":596,"title":597,"name":598,"position":599,"videoId":600,"description":601,"thumbnail":602,"publishedAt":603,"duration":604,"socialMedia":605},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy5EMEEwRUY5M0RDRTU3NDJC","Wes Royer - Vice President of Project Management, Clarivate, Virginia USA, A product, software...","Wes Royer","Vice President of Project Management, Clarivate, Virginia USA, A product, software...","5vyUPOwOa9Q","## About the Expert\n\nWes Royer is Vice President of Product Management at Clarivate, a global leader in enterprise software and data analytics. With over 25 years of experience spanning healthcare, biotech, government, defense, and publishing, he has helped build and lead product teams in some of the world's most complex and regulated industries.\n\nStarting his career in marketing and communications before moving into software engineering and product management, Wes brings a rare blend of technical expertise and business strategy.\n\nHis work focuses on how AI and machine learning can turn massive data sets into actionable insights — helping both companies and their users make better decisions, faster.\n\n## The Future of Work: Empowering People, Not Replacing Them\n\nAs artificial intelligence transforms industries, the real question is no longer whether AI will change our jobs, but how we'll work alongside it. In this insightful conversation, Wes Royer, Vice President of Product Management at Clarivate, explains how AI helps companies solve their most complex data problems — not by replacing people, but by giving them the tools to think faster, work smarter, and adapt quicker.\n\nDrawing from over 25 years of leadership in industries like healthcare, defense, and publishing, Wes shares why adaptability, learning mindset, and human connection are the skills that truly define success in the age of AI.\n\n## How AI transforms data from complexity to clarity\n\nFor Wes Royer, artificial intelligence is not about replacing jobs — it's about giving people the tools to work smarter.\n\nIn industries like healthcare and defense, AI enables teams to navigate strict privacy and security regulations by helping them automate data processing, improve search, and uncover patterns in vast amounts of information.\n\nHe highlights two critical areas where AI delivers the most impact:\n\n• AI in enterprise products: Giving users smarter tools to analyze, automate, and optimize their workflows.\n• AI in company operations: Helping internal teams organize complex data ecosystems and uncover valuable insights faster than ever before.\n\nBut technology is only part of the story.\n\nWes emphasizes that companies need product teams with a learning mindset, strong communication, and the ability to build internal networks of experts. These soft skills, combined with technical AI capabilities, will define success in the next wave of industrial innovation.\n\n## The future of work is human + AI\n\nAI is changing how we work, but it's not eliminating the need for people. Instead, it's reshaping jobs so that people can focus on what matters most: critical thinking, creativity, and leadership.\n\nRather than reducing teams, AI frees them from repetitive data tasks and allows them to contribute at a higher level. In the next five years, Royer predicts rapid transformation across industries — with AI education and online learning becoming essential for anyone who wants to stay competitive.\n\n## 🎥 Watch the full interview with Wes Royer and learn how AI transforms work in the enterprise world.\n\n## 🌐 Discover Kampster AI – the platform for AI education, knowledge testing, and online learning – and build the skills of tomorrow, today.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F5vyUPOwOa9Q\u002Fsddefault.jpg","2025-07-16T08:25:36Z","PT30M11S",[606],{"name":361,"url":607},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fwesroyer\u002F",{"id":609,"title":610,"name":611,"position":612,"videoId":613,"description":614,"thumbnail":615,"publishedAt":616,"duration":617,"socialMedia":618},"UExlS3hsQzFNaEZaTWUxT19lMDFaRkVGamFkZEJjbmQ2Sy4yMDhBMkNBNjRDMjQxQTg1","Lucia Loyo - G.Counsel specialized on AI&Privacy, Advisory Board Member AI4ALL","Lucia Loyo","G.Counsel specialized on AI&Privacy, Advisory Board Member AI4ALL","A_gWb27mDB8","## About the Expert\n\nLucia Loyo is General Counsel for ETS EMEA and a specialized expert in AI and Privacy Law. With nearly two decades of experience at ETS, her career has evolved from core legal counsel to leading data protection and data strategy initiatives. Today, she is a prominent voice in AI governance, serving as an Advisory Board Member for AI4ALL, where she focuses on the ethical implementation of technology for the next generation of learners.\n\n## The False Dichotomy: Regulation vs. Innovation\n\nDoes regulation kill innovation? Lucia Loyo challenges this common narrative, arguing that regulation is a necessary framework for societal organization that has successfully guided industries for centuries. In this interview, we explore why a balanced approach is not only possible but essential for the sustainable growth of the AI industry.\n\n## Navigating the EU AI Act in Education\n\nAs the world's first general regulation on AI, the EU AI Act sets a significant precedent. Lucia breaks down what this means for the educational sector, which is classified as \"high-risk.\"\nKey regulatory insights include:\n\n- The ban on emotion recognition: Why using biometric data to track student reactions is prohibited in educational settings.\n- Sensitive data protection: Why implementation requires rigorous documentation and care when dealing with student privacy.\n- High-risk classification: What developers must consider when deploying AI systems for learners.\n\n## Ethics by Design for Startups and Small Teams\n\nEthical AI shouldn't require a massive corporate infrastructure. Lucia provides a simplified framework for startups and smaller teams to implement \"ethics by design\":\n\n- Keep the human at the center of the design process.\n- Constant evaluation: If an output can evolve to harm the user, the system must change.\n- Simplifying complexity: Focusing on the direct interaction between the person and the system to prevent unintended consequences.\n\n## A Parent’s Perspective: Critical Thinking vs. \"Cheating\n\nBeyond her legal role, Lucia shares her experience as a mother of three, observing how different generations interact with AI. We discuss the challenge of ensuring AI serves as a tool for growth rather than a crutch that hinders critical thinking.\n\n- The \"Cheating\" Stigma: Why some students resist AI while others embrace it as a constant companion.\n- Privacy as a Right, Not a Luxury: Why we must not willingly give up our rights under the GDPR, especially for the youngest learners.\n\n## The Future of School: Personalization without Isolation\n\nLucia envisions a \"school of the future\" where AI provides hyper-personalized support—assessing students based on individual strengths like creativity or music rather than standardized metrics. However, she issues a vital warning:\n\n- The Data Exchange: The risks involved in trading personal data for personalized tutoring.\n- The Bubble Trap: Ensuring that personalized agents bring students together as a collective rather than isolating them in individual bubbles.\n\n## Responsible Usage: Are YOU a Responsible AI User?\n\nThe conversation concludes with a shift in perspective. Lucia asks us to look at the \"two-sided\" nature of responsibility:\n\n- Environmental Impact: Considering the data and energy cost of every prompt.\n- Intentionality: Asking \"Do I really need AI for this?\" before defaulting to the most comfortable or fastest option.\n\n## 🎥 Watch the full interview with Lucia Loyo to learn how to navigate the complex intersection of AI, privacy law, and the future of human-centric education.\n\n## 🌐 Explore Kampster AI — the platform for AI education, knowledge testing, and practical learning — and start building the skills needed for the future of enterprise AI.","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FA_gWb27mDB8\u002Fsddefault.jpg","2026-01-28T09:41:49Z","PT13M40S",[619],{"name":361,"url":620},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Flucia-loyo-g\u002F",1789118607034]