[{"data":1,"prerenderedAt":445},["ShallowReactive",2],{"insights-podcasts-en":3,"insights-presentations-en":187,"insights-blogs-en":324},[4,12,19,26,32,38,45,51,58,66,73,80,87,94,102,109,116,123,128,134,140,147,153,160,167,173,180],{"title":5,"subtitle":6,"description":7,"date":8,"series":9,"watchTime":10,"path":11},"ChatGPT Would Vote for the SP","The Political Orientation of AI","Large language models like ChatGPT, Gemini, or Claude are no longer just technical toys:\nthey influence how we consume information, conduct political debates, and make decisions.\nBut how politically neutral are these models really? Do they carry an inherent ideological colouring?\nAnd if so, which?\n","2025-03-08","ah","80min","\u002Fpodcasts\u002Fen\u002F28-chatgpt-wuerde-sp-waehlen",{"title":13,"subtitle":14,"description":15,"date":16,"series":9,"watchTime":17,"path":18},"DeepSeek R1: Independent Thinking in Action","How AI Shapes Its Own Thinking Process","In this episode we take a close look at the groundbreaking DeepSeek R1: a model that independently defines\nand optimises its own thinking process. Instead of being told how to think, we observe how the AI generates\nits own chains of reasoning in real time and solves complex problems along the way. We explain how DeepSeek R1\nuses reinforcement learning and innovative methods to pave the way to autonomous reasoning, thereby challenging\ntraditional models that depend on human guidance. Join us as silent observers experiencing the fascinating\nself-organisation and free thought process of this open-source AI, and discuss what this means for the future\nof intelligent systems.\n","2025-03-01","65min","\u002Fpodcasts\u002Fen\u002F27-deepseek-r1",{"title":20,"subtitle":21,"description":22,"date":23,"series":9,"watchTime":24,"path":25},"SRF Arena: Does Radical Expropriation Lead to Digital Democracy?","Part 1 [1\u002F3]","In the SRF Arena the controversial proposal to expropriate large technology companies was among the topics\ndiscussed: a radical approach aimed at a fundamental redistribution of digital power. In this reAct episode\nwe examine exactly this point. We analyse whether such an intervention could pave the way to greater digital\ndemocracy, what opportunities it opens up, and what risks are involved. Join us as we critically question the\narguments put forward in the Arena and place them in a technical context.\n","2025-02-15","78min","\u002Fpodcasts\u002Fen\u002F23-srf-arena-part-1",{"title":27,"subtitle":28,"description":29,"date":23,"series":9,"watchTime":30,"path":31},"SRF Arena: Less Work for Everyone - or More Wealth for a Few?","Part 2 [2\u002F3]","This episode is dedicated to the far-reaching changes in the world of work brought about by the use of\nartificial intelligence. We pose the provocative question: does automation lead to more leisure time and\na higher quality of life for the broad population, or does ultimately only a small number benefit from\na digitally generated surplus? With a perspective that lightly incorporates Marxist approaches, we analyse\nhow jobs and wealth distribution could really develop in the era of AI.\n","106min","\u002Fpodcasts\u002Fen\u002F24-srf-arena-part-2",{"title":33,"subtitle":34,"description":35,"date":23,"series":9,"watchTime":36,"path":37},"SRF Arena: A Global Safety Mechanism for AI?","Part 3 [3\u002F3]","In the SRF Arena the question was also raised of how the rapid progress of artificial intelligence can be\nregulated safely and responsibly. Experts discussed whether national measures are sufficient or whether a\nglobal safety mechanism, comparable to approaches in nuclear technology, would be necessary to minimise risks.\nIn this reAct episode we engage with the proposals put forward in the Arena and ask: can an internationally\ncoordinated regulatory framework really secure the digital future? We examine the opportunities and challenges\nof such an approach and place it in a broader technical context.\n","74min","\u002Fpodcasts\u002Fen\u002F25-srf-arena-part-3",{"title":39,"subtitle":40,"description":41,"date":42,"series":9,"watchTime":43,"path":44},"o3: Does AI Surpass Human Intelligence?","Part 1 [1\u002F2]","In the OpenAI video with Sam Altman the new model o3 was presented, and it is causing a stir on the Arc AGI\nbenchmark. In this reAct episode we watch the video and react live to the impressive demos.\nWe discuss whether o3 really approaches or even surpasses human intelligence on complex mathematical and\nprogramming tasks. Join us as we scrutinise the performance figures and challenges shown and assess whether\na genuine quantum leap in AI development is visible here!\n","2025-02-08","48min","\u002Fpodcasts\u002Fen\u002F21-o3-uebertrifft-menschliche-intelligenz",{"title":46,"subtitle":47,"description":48,"date":42,"series":9,"watchTime":49,"path":50},"o3-mini: How o1 Becomes Obsolete in Record Time!","Part 2 [2\u002F2]","The OpenAI video with Sam Altman presents not only the powerful model o3 but also the new o3-mini,\na model that scores with an ingenious cost-to-intelligence ratio. In this reAct episode we watch the video\nand react to the spectacular benchmarks and demos that show how o3-mini delivers such outstanding performance\ndespite higher costs that o1 becomes practically obsolete. Join us as we watch the new standard in AI performance\nbeing set and discuss what this means for the rapidly evolving AI scene!\n","42min","\u002Fpodcasts\u002Fen\u002F22-o3-mini-wie-o1-in-rekordzeit-ueberfluessig-wird",{"title":52,"subtitle":53,"description":54,"date":55,"series":9,"watchTime":56,"path":57},"When AI Kills","Dangers That AI Brings With It","Which dangers brought by AI are already reality today, in 2025? We report on where we really need to keep a\nclose eye on AI developments, and use examples such as \"Predictive Policing\" and \"AI in warfare\" to show why\nthe use of AI already poses genuine dangers today.\n","2024-12-21","71min","\u002Fpodcasts\u002Fen\u002F20-wenn-ki-totet",{"title":59,"subtitle":60,"description":61,"date":62,"series":63,"watchTime":64,"path":65},"tldr; Are We Being Manipulated by ChatGPT o1","Days 1 to 5 of 12 Days of OpenAI","We talk about 12 Days of Shipmas! More specifically about the new model o1 and ChatGPT Pro,\nabout reinforcement fine-tuning, Sora, Canvas, and Apple Intelligence.\n","2024-12-12","tldr","83min","\u002Fpodcasts\u002Fen\u002F19-tldr-werden-wir-von-o1-manipuliert",{"title":67,"subtitle":68,"description":69,"date":70,"series":63,"watchTime":71,"path":72},"tldr; At Google, AI Programmes Itself","A Remarkable Glimpse into the AI World at Google","A quarter of all new code at Google is now written by artificial intelligence: a remarkable glimpse into the\nrapid development of the technology. What does this mean for the future of programming and the role of developers?\nIn this tldr episode we discuss Google's latest earnings report and the implications of AI already playing a\nsignificant part in creating software. A fascinating look at self-programming AI and what it means for the\nindustry and the world of work.\n","2024-11-09","46min","\u002Fpodcasts\u002Fen\u002F18-tldr-bei-google-programmiert-die-ki",{"title":74,"subtitle":75,"description":76,"date":77,"series":9,"watchTime":78,"path":79},"Why AI Projects Fail","and How You Join the Successful Ones","Poor planning, unrealistic expectations, and a lack of know-how: there are many reasons why AI projects stall\nor fail. In this episode we reveal what it really takes to make AI projects succeed. From the first steps of\nproject planning through to implementation: find out which pitfalls to avoid and which strategies will help you\njoin the winners.\nA must for anyone who wants not only to start AI projects but to see them through to success.\n","2024-11-04","112min","\u002Fpodcasts\u002Fen\u002F17-warum-ki-projekte-scheitern",{"title":81,"subtitle":82,"description":83,"date":84,"series":9,"watchTime":85,"path":86},"The Secret Language of AI","A Look Behind the Scenes of Deep Learning","What really happens behind the scenes of Deep Learning? In this episode we lift the veil on the \"language\"\nof artificial intelligence and dive deep into the world of Embedding Space. We discuss how Dropout Layers\nimprove AI learning, why Few-Shot Learning is so revolutionary, and how Fine-Tuning makes models more precise.\nBut that is not all: we also take a critical look at Data Privacy and ask how safe our data really is in the\nworld of machine learning.\n","2024-10-26","66min","\u002Fpodcasts\u002Fen\u002F16-die-geheime-sprache-der-ki",{"title":88,"subtitle":89,"description":90,"date":91,"series":63,"watchTime":92,"path":93},"tldr; Why AI Must See in Order to Understand","Vision and Illusion","In this episode we show why artificial intelligence must see in order to truly understand.\nVision models are the key to the next level of AI development, because only with images can a comprehensive\npicture of the world be built: image data surpasses text in quantity and depth. But that is not all:\nwe also talk about the \"Diffusion Illusion\", a cool technique in which Stable Diffusion models can depict\nmultiple perspectives and subjects simultaneously in a single image.\n","2024-10-20","33min","\u002Fpodcasts\u002Fen\u002F15-warum-ki-sehen-muss",{"title":95,"subtitle":96,"description":97,"date":98,"series":99,"watchTime":100,"path":101},"abc; Artificial General Intelligence - in 1000 Days?","Offline on the Smartphone Thanks to BitNets?","In this episode of Attention Heads we dive deep into the world of artificial intelligence and ask ourselves:\nwill it really be possible to have AGI (Artificial General Intelligence) in 1000 days? This bold statement\ncomes from none other than Sam Altman. But what really lies behind it? We guide you from A to C through\nexciting concepts such as Attention Heads, Agents, and AGI, through technical milestones like Backpropagation\nand on to Contextual Embeddings. An episode that examines the future of AI and its fundamental building blocks.\n","2024-10-12","abc","56min","\u002Fpodcasts\u002Fen\u002F14-agi",{"title":103,"subtitle":104,"description":105,"date":106,"series":63,"watchTime":107,"path":108},"tldr; OpenAI o1:","The Next Step Towards AGI?","In this episode of tldr we take a closer look at OpenAI's newest model: o1.\nWhat makes this model different? With an alleged IQ of 120 and the ability to think before answering,\nit could be the next step towards AGI (Artificial General Intelligence).\nBut how intelligent is it really? We discuss the most important innovations, how to get the most out of\nthis model, and what challenges still need to be overcome on the path to genuine artificial intelligence.\n","2024-09-26","37min","\u002Fpodcasts\u002Fen\u002F13-openai-o1",{"title":110,"subtitle":111,"description":112,"date":113,"series":63,"watchTime":114,"path":115},"tldr; Artificial Self-Reflection","Strawberry and Reflection Get AI Thinking","While the AI industry is dominated by hype and marketing promises, we take a critical look at two current\ndevelopments: OpenAI's mysterious \"Strawberry\" model and the open-source \"Reflection\" model.\nWe question the big claims and analyse what really lies behind these new approaches.\n","2024-09-11","51min","\u002Fpodcasts\u002Fen\u002F12-tldr-strawberry",{"title":117,"subtitle":118,"description":119,"date":120,"series":9,"watchTime":121,"path":122},"AI Dystopia 2035:","When AI Becomes the Lifeblood of the Economy (Double Episode: Part 1)","This episode critically examines possible negative effects of advanced AI over the next 10 to 15 years.\nWe discuss scenarios such as massive job losses, changes in interpersonal communication, and potential\nconcentrations of power among AI companies. Part 1 of our double episode on the future of AI: realistic\nthreat or exaggerated fears? Part 2 will explore utopian visions.\n","2024-08-31","47min","\u002Fpodcasts\u002Fen\u002F10-ki-dystopie-2035",{"title":124,"subtitle":125,"description":126,"date":120,"series":9,"watchTime":114,"path":127},"AI Utopia 2035:","When Algorithms Inspire Us to Greater Humanity (Double Episode: Part 2)","In this optimistic companion episode to our bleak AI dystopia we take a hopeful look at a future in which\nAI realises its full potential. From the four-day work week to a renaissance of community spirit, we explore\nhow AI could enrich our lives. But be warned: this utopia will not come on its own. Find out what steps we\nneed to take today to live tomorrow in a world where AI serves not only the economy but above all the people.\nAn episode that will open your eyes to the positive possibilities of AI!\n","\u002Fpodcasts\u002Fen\u002F11-ki-utopie-2035",{"title":129,"subtitle":130,"description":131,"date":132,"series":9,"watchTime":121,"path":133},"AI Hype:","When Marketing Promises Meet Hard Reality","AI is on everyone's lips, but what really lies behind it? We critically analyse the current AI hype,\nquestion inflated marketing promises, and discuss the gap between expectations and reality.\nAlong the way we examine the role of AI in companies, society's expectations of AI systems, and the driving\nforces behind AI adoption. A sober assessment of the AI boom with a look at future developments.\n","2024-08-23","\u002Fpodcasts\u002Fen\u002F09-ki-hype",{"title":135,"subtitle":136,"description":137,"date":138,"series":9,"watchTime":121,"path":139},"Open Source AI:","The Forgotten Foundation of the AI Revolution","This episode looks at the often overlooked importance of open-source AI models.\nWe discuss how these models drive innovation and research and why they are essential for the future of AI.\nTopics include OpenAI's move away from an open-source approach, challenges and opportunities in open-source\ndevelopment, and a comparison with proprietary models like GPT-4. The episode highlights the variety of\navailable open-source models and their potential for democratising AI technology. For anyone seeking a deeper\nunderstanding of the current AI landscape.\n","2024-08-18","\u002Fpodcasts\u002Fen\u002F08-open-source-ki",{"title":141,"subtitle":142,"description":143,"date":144,"series":9,"watchTime":145,"path":146},"Is AI Intelligent?","An Answer Nobody Needs","In this episode of \"Attention Heads\" we tackle the much-discussed but perhaps unnecessary question: is artificial\nintelligence really intelligent? We philosophise about the definition of intelligence and analyse whether AI\nmeets those criteria. In doing so we arrive at the conclusion that the question itself often creates more\nconfusion than clarity.\nWe examine why it may be irrelevant whether AI can be described as \"intelligent\" and shift the focus to the\npractical applications and ethical implications of the technology. With a touch of self-irony we question whether\nour obsession with the intelligence of machines is not more of a distraction from more important questions.\nJoin us on this intellectual journey and decide for yourself: is the search for an answer to this question\nreally necessary, or is it ultimately an answer that nobody needs?\n","2024-06-29","55min","\u002Fpodcasts\u002Fen\u002F07-ist-ki-intelligent",{"title":148,"subtitle":149,"description":150,"date":151,"series":9,"watchTime":49,"path":152},"AI in the Classroom:","Revolution or Risk?","In this exciting episode of \"Attention Heads\" we tackle one of the hottest topics in modern education:\nartificial intelligence in the classroom. From universities to primary schools, AI is increasingly permeating\nthe education sector. But what does this mean for students, teachers, and the education system as a whole?\nWe discuss the use of AI like ChatGPT in teaching and analyse the potential benefits and risks.\nWe examine the possibility of cheating through AI-assisted tools and ask whether they create an unfair\ncompetitive advantage. We also look at current assessment criteria and legal prohibitions around the use of AI\nin schools and universities.\nFind out how educational institutions can make sensible use of AI and which future scenarios are conceivable\nin which GPT models become a permanent part of learning. Join us in the debate and discover whether AI\nrepresents a revolution or a risk for education.\n","2024-06-21","\u002Fpodcasts\u002Fen\u002F06-ki-im-klassenzimmer",{"title":154,"subtitle":155,"description":156,"date":157,"series":9,"watchTime":158,"path":159},"Dangerous Biases:","The Invisible Influence of OpenAI on ChatGPT","This episode of our AI podcast ventures into a controversial and often overlooked topic: the inherent biases\nin AI models like ChatGPT, with a special focus on their effects on minorities.\nWe reveal the profound yet largely unknown influence that OpenAI exerts on the development and design of ChatGPT.\nThis episode illuminates how biases in the data used to train these AI models flow not only into the technology\nitself but can also affect interactions with users and society as a whole. Through conversations with experts\nand critical analyses we challenge our listeners to reflect on the ethical implications of AI development and\ndiscuss what can be done to shape a fairer and more inclusive AI future.\n","2024-03-04","40min","\u002Fpodcasts\u002Fen\u002F05-gefaehrliche-vorurteile",{"title":161,"subtitle":162,"description":163,"date":164,"series":9,"watchTime":165,"path":166},"DeepSeek V3: Open-Source Powerhouse","The Secret Behind the Hype","In this episode we take a close look at the DeepSeek V3 paper: the open-source powerhouse that is currently\ncausing a stir in the AI scene. We explain why this model, with its 671 billion parameters (37 billion active\nper token) and innovative architectures such as Multi-Head Latent Attention and Mixture-of-Experts, is\nrevolutionising the market. We examine how DeepSeek V3 achieves impressive results despite low training costs\n(only around 5.58 million USD) through efficient use of Nvidia H800 chips and lean data usage. Find out what\nlies behind the hype, what technical innovations distinguish the model, and why it is considered a game-changer\nin open-source AI.\n","2024-02-22","61min","\u002Fpodcasts\u002Fen\u002F26-deepseek-v3",{"title":168,"subtitle":169,"description":170,"date":171,"series":9,"watchTime":71,"path":172},"AI as a Job Killer?","How ChatGPT's Autonomous Agents Threaten the World of Work","In this episode of our AI podcast we confront a provocative question: will ChatGPT and its autonomous agents\nbecome a job killer for billions of positions? This episode dives deep into the discussion about the potential\nrisks and far-reaching effects that AI-driven technologies could have on the global labour market. We examine how\nthe advancing development and implementation of autonomous agents could threaten not only simple, repetitive tasks\nbut increasingly also more complex and creative fields. Through a critical engagement with current trends,\nstatistical forecasts, and expert opinions we explore how societies can prepare for a future in which work is\nredefined. The aim is to create an awareness of the urgency with which we must confront the challenges of\nAI integration into the world of work.\n","2024-02-20","\u002Fpodcasts\u002Fen\u002F04-ki-als-jobkiller",{"title":174,"subtitle":175,"description":176,"date":177,"series":9,"watchTime":178,"path":179},"AI Terms: B******t Check:","What Really Lies Behind Them","In this episode of our Swiss AI podcast we set ourselves the task of shedding light on the often confusing world\nof AI terminology. We untangle and explain the basics and key terms such as Artificial Intelligence (AI),\nMachine Learning, Data Science, and language models. This episode offers a clear and in-depth look at the meaning\nof these terms, their differences, and how they are connected.\nWe also discuss how these technologies are developed and in which areas they are applied.\nThe aim is to give our listeners a well-grounded understanding of these revolutionary technologies that goes\nbeyond buzzwords. Whether you are new to the world of AI or an experienced developer, this episode promises\nto be informative and illuminating.\n","2024-02-10","43min","\u002Fpodcasts\u002Fen\u002F03-bullshit-check",{"title":181,"subtitle":182,"description":183,"date":184,"series":9,"watchTime":185,"path":186},"ChatGPT: Curse or Blessing for Democracy?","Attention Heads - Swiss Perspective on AI and the Technology of Tomorrow","In this episode of our Swiss AI podcast we tackle a charged topic: the influence of ChatGPT on democracy.\nThis episode dives deep into the complex interplay between artificial intelligence and democratic discourse.\nWe discuss both the potential dangers and the possible benefits that ChatGPT and similar technologies can bring\nto democratic processes. Along the way we examine topics such as opinion manipulation, information dissemination,\nand the role of AI in political decision-making. Our goal is to develop a balanced understanding of how these\ninnovative technologies can both challenge and enrich our democracy.\n","2024-02-04","53min","\u002Fpodcasts\u002Fen\u002F02-fluch-oder-segen-fuer-demokratie",[188,195,202,209,216,223,229,236,243,250,257,264,271,278,285,291,298,304,310,317],{"title":189,"subtitle":190,"description":191,"eventDate":192,"logo":193,"path":194},"Webinar: Practical AI","Pioneering Use Cases with the Swiss AI Hub","The webinar focuses on practical uses of AI in software development, from requirements analysis through to\ntesting and code reviews. It shows how workshop artefacts such as notes, post-its and sketches can be\nstructured with speech-to-text and multimodal models and converted into requirements. In coding, the focus\nis on deliberate context management, sensible prompting strategies and the use of specialised assistants.\nFor onboarding and knowledge building, AI is used as a navigation and learning aid in large codebases and\nas a step-by-step explanation partner. From an architecture perspective, the session covers tool research\nwith controlled sources, systematic exploration of new codebases and switching between overview and\nimplementation context.\n","2026-03-18","\u002Fimages\u002Fpresentations\u002Fwebinar10\u002Fai_use_cases_1.png","\u002Fpresentations\u002Fen\u002Fwebinar_ki_use_cases",{"title":196,"subtitle":197,"description":198,"eventDate":199,"logo":200,"path":201},"AI Agents in Production","What the Platform Must Deliver","On 13 March 2026 at the FHNW AI Agents Bootcamp I showed why a single working agent is not yet a solution\nand why a central platform becomes unavoidable from the third use case onward. Using six modules, knowledge\nbase, governance, transparency, evaluation, LLM gateway and PII protection, I explained how each of these\ncross-cutting concerns can be solved once centrally rather than replicated for every use case. The central\nmessage: a PoC is quick to build, but the platform determines whether AI actually scales in the enterprise.\n","2026-03-13","\u002Fimages\u002Fpresentations\u002Ffhnw\u002Fai_agent_platform.png","\u002Fpresentations\u002Fen\u002Ffhnw_ai_agent_platforms",{"title":203,"subtitle":204,"description":205,"eventDate":206,"logo":207,"path":208},"Overview of Current AI Trends in Swiss Industry","Four Trends, One Pattern","On 5 March 2026 at the FHNW AI Bootcamp I presented four current AI trends in Swiss industry: models are\nconverging and can now be chosen with low risk, agents are turning AI from a conversation partner into a\nco-worker, and open standards such as MCP connect AI to existing enterprise systems. Using concrete practical\nexamples from knowledge management and predictive maintenance I showed that the value lies not in the model\nbut in connecting it to your own data and systems. The central message: it is not the model that decides,\nit is the platform, because that is where long-term dependencies or genuine digital sovereignty arise.\n","2026-03-05","\u002Fimages\u002Fpresentations\u002Ffhnw\u002Fai_trends.png","\u002Fpresentations\u002Fen\u002Ffhnw_ai_trends",{"title":210,"subtitle":211,"description":212,"eventDate":213,"logo":214,"path":215},"Webinar: AI Trends 2026","AI Wrapped 2025 and Outlook 2026","The review of 2025 frames the development of AI models as a phase of convergence in which progress is\nvisible less through classic benchmarks and more through efficiency and cost per performance. One focus is\non the shift in differentiation from model quality to platform functions such as integration, memory,\nretrieval, governance and agentic workflows. The rivalry between the USA and China is framed as an\ninterplay of massive infrastructure investments and an open-weight strategy with strong price pressure and\na growing open-source ecosystem. For 2026, integration into existing enterprise systems and standards such\nas MCP are central, to connect AI workflows reliably with business applications. At the same time, lock-in\neffects and AI sovereignty are presented as decisions about data centre, platform and connected systems.\n","2026-01-14","\u002Fimages\u002Fpresentations\u002Fwebinar9\u002Fai_trends_2026_1","\u002Fpresentations\u002Fen\u002Fwebinar_ai_in_2026",{"title":217,"subtitle":218,"description":219,"eventDate":220,"logo":221,"path":222},"Webinar: Robust AI Foundation","A Platform Approach for Long-Term Enterprise Success","The webinar focuses on AI infrastructure as the shared foundation on which multiple AI applications in\nan organisation can be built. Central components covered include LLM gateways for interchangeable model\nusage and mechanisms for cost and access control with token-based services. A further focus is access to\ncompany knowledge via RAG, vector databases and ingestion pipelines for continuously updating documents.\nTo safeguard quality, evaluation approaches are presented that make model changes and other modifications\nmeasurable. The session also covers observability and data protection, including traceability of processing\nsteps and PII detection before requests are sent to external models.\n","2025-11-20","\u002Fimages\u002Fpresentations\u002Fwebinar8\u002Fai_infra_1.png","\u002Fpresentations\u002Fen\u002Fwebinar_ai_infra",{"title":224,"subtitle":225,"description":191,"eventDate":226,"logo":227,"path":228},"Webinar: AI as Development Partner","Tools, Techniques and Team Integration","2025-04-23","\u002Fimages\u002Fpresentations\u002Fwebinar7\u002Fai_in_software_1.png","\u002Fpresentations\u002Fen\u002Fwebinar_ki_als_entwicklungspartner",{"title":230,"subtitle":231,"description":232,"eventDate":233,"logo":234,"path":235},"Orchestrating Intelligent Agents","5min Lightning Talk","In this lightning talk you will learn how Azure Cosmos DB serves as the foundation for scalable multi-agent\nsystems and enables seamless communication and collaboration between AI agents. Explore practical implementations\nof AI agent protocols within Azure Cosmos DB.\n","2025-04-15","\u002Fimages\u002Fpresentations\u002Fcosmos_conf\u002Fcosmos_conf_1.png","\u002Fpresentations\u002Fen\u002Fcosmos-db-conference",{"title":237,"subtitle":238,"description":239,"eventDate":240,"logo":241,"path":242},"AI Agent Collaboration","A roadmap for successful adoption and scaling in organizations","An AI agent is positioned as an evolution beyond reactive assistants and examined along a spectrum between\npredefined workflows and high autonomy. The focus is on how agents can be reliably integrated into processes\nthrough clear guardrails, modularity and observable execution. A role model (TACO) classifies agents by\nfunction, from focused single tasks through to orchestrating complex end-to-end workflows. Multi-agent\nsystems bring communication to the fore as the central challenge, including the tension between efficiency,\nportability and versatility. Various protocol approaches such as MCP, task- and artefact-oriented models\nand chat-like runtime concepts are compared as building blocks for structured collaboration between agents\nand systems.\n","2025-02-04","\u002Fimages\u002Fpresentations\u002Fnlp_expert_meeting\u002Fnlp_experts.png","\u002Fpresentations\u002Fen\u002Fnlp-expert-group",{"title":244,"subtitle":245,"description":246,"eventDate":247,"logo":248,"path":249},"Webinar: Generative AI and Autonomous Agents","The Most Important Developments of 2024 and What 2025 Could Bring","The webinar puts the most important developments in the AI year 2024 into context and shows why language\nmodels are shaping the market and public discourse. One focus is on OpenAI as the dominant pace-setter and\non the trend toward assistants and copilots in enterprises, including typical adoption and differentiation\nquestions. It also covers how sharply AI usage costs are falling and why the perceived intelligence jumps\nin leading models are simultaneously getting smaller. A further section examines the rise of capable\nopen-source models and their relevance for costs, control and dependency. The outlook for 2025 centres on\ncomputer-assisted operation, reasoning models with new cost profiles, agentic workflows and the growing role\nof Chinese models alongside the increasingly loud AGI debate.\n","2025-01-22","\u002Fimages\u002Fpresentations\u002Fwebinar6\u002Fai_in_2025_1_1200x1200.png","\u002Fpresentations\u002Fen\u002Fwebinar_ai_in_2025",{"title":251,"subtitle":252,"description":253,"eventDate":254,"logo":255,"path":256},"An Inspiring Start to the Future of the Medtech Sector","AI Use Cases in Medicine: From Diagnosis to Therapy","At the New Year Aperitif of the Health Tech Cluster Switzerland I presented practical AI use cases in the\nmedtech sector, from support for medical devices to documentation tools for nursing staff and compliance\ntools for medical device manufacturers. Live demos gave participants the chance to try out the innovative\nAI solutions directly and exchange ideas in a relaxed atmosphere. The inspiring evening laid the groundwork\nfor future developments and underscored how valuable hands-on insights and personal networking are for the\nsector.\n","2025-01-16","\u002Fimages\u002Fpresentations\u002Fhtcs\u002Fhtcs_3.png","\u002Fpresentations\u002Fen\u002Fhtcs",{"title":258,"subtitle":259,"description":260,"eventDate":261,"logo":262,"path":263},"Webinar: AI Agents in Practice","Transparency, Performance and Innovation with the AI Hub","Generative AI and AI agents are at the heart of an agentic way of working in which virtual systems\nsupport business processes autonomously. The BBV AI Hub technology platform shows how data sources,\nlanguage models and security concepts can be intelligently connected. Examples from logistics and HR\nillustrate how comprehensively and transparently AI agents can be deployed in practice.\n","2024-09-25","\u002Fimages\u002Fpresentations\u002Fwebinar5\u002Fki_agenten_praxis.png","\u002Fpresentations\u002Fen\u002Fwebinar_ki_agenten_in_der_praxis",{"title":265,"subtitle":266,"description":267,"eventDate":268,"logo":269,"path":270},"AI in Action at FMH","Successful Tariff Structure Transition from TARMED to TARDOC","The transition from Tarmed to Tardoc and the associated challenges for Swiss physicians are the central focus.\nThe discussion examines how FMH can use AI technologies, including chatbots and GPT solutions, to support\ninformation and advisory work. Organisational and technical aspects are addressed alongside a possible future\nperspective for secure and progressive AI use.\n","2024-08-28","\u002Fimages\u002Fpresentations\u002Fai_impact\u002Fai_impact_2.png","\u002Fpresentations\u002Fen\u002Fbbv_ai_impact",{"title":272,"subtitle":273,"description":274,"eventDate":275,"logo":276,"path":277},"Webinar: Agent-RAG","From Document to Knowledge","RAG (Retrieval Augmented Generation) connects AI models with company-specific data to generate precise answers\nfrom extensive sources. The underlying pipeline processes documents in a structured way, recognises user\nintent and extracts relevant text passages from a knowledge database. Sensible splitting of texts, the\nmanagement of metadata and the avoidance of hallucinations all play a central role.\n","2024-07-03","\u002Fimages\u002Fpresentations\u002Fwebinar4\u002Frag_agent.png","\u002Fpresentations\u002Fen\u002Fwebinar_agent_rag",{"title":279,"subtitle":280,"description":281,"eventDate":282,"logo":283,"path":284},"AI Challenge","Expert Knowledge on Demand with AI Agents","At the 11th Industrieforum 2025 I presented my vision for AI-supported knowledge management that preserves\nimplicit knowledge and makes it efficiently usable through context-based search methods such as Retrieval\nAugmented Generation (RAG). I described AI agents as virtual employees who not only structure knowledge but\ncan also generate new insights in real time. Despite challenges such as information overload and data\nprotection, I showed how AI offers transformative possibilities for a future-ready knowledge culture.\n","2024-06-04","\u002Fimages\u002Fpresentations\u002Findustrieforum_2025\u002Findustrieforum.png","\u002Fpresentations\u002Fen\u002Findustrieforum_2025",{"title":286,"subtitle":280,"description":287,"eventDate":288,"logo":289,"path":290},"Knowledge Management","Knowledge management with AI agents makes it possible to navigate the \"knowledge labyrinth\" in organisations\nby connecting generative language models with company-specific data sources. Virtual employees (agents) can\nsupport new staff in finding information and make expert knowledge accessible in real time. At a Swico event\nthis solution was presented using a proof of concept, interrupted by a fire alarm that gave everyone a short\nbreather.\n","2024-04-19","\u002Fimages\u002Fpresentations\u002Fswico\u002Fwissensmanagement.png","\u002Fpresentations\u002Fen\u002Fswico",{"title":292,"subtitle":293,"description":294,"eventDate":295,"logo":296,"path":297},"Data Flows in AI Systems","Understanding Data Movements and Their Implications","Data flows in AI systems are complex and multifaceted. The strategic arrangement of system components in which\ndata is captured, stored, and transmitted forms the foundation of our analysis. By carefully examining the\ndynamics and interactions in typical generative AI systems, we aim to identify and raise awareness of both\ndirectly visible and concealed data streams. Our primary goal is ultimately to sharpen awareness of potential\ndata leaks in order to support and promote the stability, sustainability, and integrity of AI systems.\n","2024-03-15","\u002Fimages\u002Fpresentations\u002Fhaerting\u002Fhaerting_3.png","\u002Fpresentations\u002Fen\u002F9ter_datenschutztag",{"title":299,"subtitle":293,"description":300,"eventDate":301,"logo":302,"path":303},"Webinar: Data Flows in AI Systems","Large language models such as GPT are based on statistical relationships and the interaction between user,\ndatabase and model. The combination of general model knowledge and company-specific data sources improves\nthe precision and timeliness of answers. The focus is also on data security and the careful handling of\nconfidential information.\n","2024-02-28","\u002Fimages\u002Fpresentations\u002Fwebinar3\u002Fdatenfluesse.png","\u002Fpresentations\u002Fen\u002Fwebinar_datenflusse",{"title":305,"subtitle":280,"description":306,"eventDate":307,"logo":308,"path":309},"Webinar: Knowledge Management","AI agents are revolutionising work processes and increasing team efficiency. OpenAI impressively demonstrated\nwith Custom GPTs what extraordinary synergies emerge when several of these intelligent assistants work\ntogether. The potential for transforming your organisation is enormous. We explain how generative AI can\nchange your organisation for the better and what steps are needed to deploy AI agents successfully. We show\npractically, using concrete examples, how a multi-agent system can be actively used, and we also venture a\nlook into the future and what it holds for AI agents.\n","2024-01-10","\u002Fimages\u002Fpresentations\u002Fwebinar2\u002Fwissensmanagement.png","\u002Fpresentations\u002Fen\u002Fwebinar_wissensmanagement",{"title":311,"subtitle":312,"description":313,"eventDate":314,"logo":315,"path":316},"Webinar: Swarm Intelligence","How AI Agents Transform Your Organisation","AI agents are revolutionising work processes and increasing team efficiency. OpenAI impressively demonstrated\nwith Custom GPTs what extraordinary synergies emerge when several of these intelligent assistants work\ntogether. The potential for transforming your organisation is enormous. We explain how generative AI can\nchange your organisation for the better and what steps are needed to deploy AI agents in your organisation\nsuccessfully. We show practically, using concrete examples, how a multi-agent system can be actively used,\nand we also venture a look into the future and what it holds for AI agents.\n","2023-12-13","\u002Fimages\u002Fpresentations\u002Fwebinar1\u002Fschwarmintelligenz.png","\u002Fpresentations\u002Fen\u002Fwebinar_schwarmintelligenz",{"title":318,"subtitle":319,"description":320,"eventDate":321,"logo":322,"path":323},"Application Areas","Practical Examples of AI Agents","At the \"AI Revolution\" event, bbv Software Services AG demonstrated how generative AI technologies can transform\nwork processes. From hands-on demonstrations of innovative AI agents to strategic insights into business\napplications, the event offered an inspiring look at the future of artificial intelligence. Interactive exchange\nwith participants and experts rounded off the day and left plenty of new impulses.\n","2023-09-27","\u002Fimages\u002Fpresentations\u002Fki_revolution\u002Fki_revolution.png","\u002Fpresentations\u002Fen\u002Fbbv_ki_revolution",[325,333,341,349,357,365,373,381,389,397,405,413,421,429,437],{"title":326,"subtitle":327,"description":328,"date":329,"logo":330,"link":331,"path":332},"Digital Sovereignty: Why a Swiss AI Stack Keeps Companies Independent","Blog series «AI Trends 2026» - Part 7","Why digital sovereignty is becoming a matter of survival. Find out how to preserve independence and control with a Swiss AI stack.\n","2026-04-07","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_7.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fdigitale-souveraenitaet-warum-ein-schweizer-ki-stack-unternehmen-unabhaengig-macht\u002F","\u002Fblogs\u002Fen\u002Fdigitale-souveraenitaet-warum-ein-schweizer-ki-stack-unternehmen-unabhaengig-macht",{"title":334,"subtitle":335,"description":336,"date":337,"logo":338,"link":339,"path":340},"Avoiding AI Lock-In: Minimising Strategic Risks","Blog series «AI Trends 2026» - Part 6","Platform dependency is becoming a strategic risk. Find out how to recognise lock-in effects with AI vendors\nand preserve your freedom.\n","2026-04-01","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_6.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fki-lock-in-vermeiden-strategische-risiken-minimieren\u002F","\u002Fblogs\u002Fen\u002Fki-lock-in-vermeiden-strategische-risiken-minimieren",{"title":342,"subtitle":343,"description":344,"date":345,"logo":346,"link":347,"path":348},"Model Context Protocol (MCP): The Standard That Connects AI with Your Business Data","Blog series «AI Trends 2026» - Part 5","Find out how the Model Context Protocol (MCP) is revolutionising AI integration and breaking down data silos\nfor your agents.\n","2026-03-25","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_5.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fmodel-context-protocol-mcp-der-standard-der-ki-mit-ihren-business-daten-verbindet\u002F","\u002Fblogs\u002Fen\u002Fmodel-context-protocol-mcp-der-standard-der-ki-mit-ihren-business-daten-verbindet",{"title":350,"subtitle":351,"description":352,"date":353,"logo":354,"link":355,"path":356},"Crossing the Valley of Tears: AI Implementation and New Workflows","Blog series «AI Trends 2026» - Part 4","Why AI tools alone do not make you more productive, and how new workflows and Agentic Process Automation help\nyou cross the \"valley of tears\".\n","2026-03-16","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_4.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fdas-tal-der-traenen-ueberwinden-ki-implementierung-und-neue-workflows\u002F","\u002Fblogs\u002Fen\u002Fdas-tal-der-traenen-ueberwinden-ki-implementierung-und-neue-workflows",{"title":358,"subtitle":359,"description":360,"date":361,"logo":362,"link":363,"path":364},"AI Slop in the Post-Hype Era: How Companies Secure Quality over Quantity","Blog series «AI Trends 2026» - Part 3","While AI in coding and design is finally delivering on its promises, \"AI Slop\" is flooding the web. Find out how\nto ensure quality and avoid the pitfalls.\n","2026-03-09","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_3.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fai-slop-in-der-post-hype-aera-wie-unternehmen-qualitaet-statt-masse-sichern\u002F","\u002Fblogs\u002Fen\u002Fai-slop-in-der-post-hype-aera-wie-unternehmen-qualitaet-statt-masse-sichern",{"title":366,"subtitle":367,"description":368,"date":369,"logo":370,"link":371,"path":372},"AI Platform instead of Chatbots: Where the Real Value of AI Lies","Blog series «AI Trends 2026» - Part 2","Why the language model is becoming a commodity and AI platforms are dominating the market. Find out all about the\nbattle between Google, OpenAI, and Microsoft.\n","2026-03-02","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_2.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fki-plattform-statt-chatbots-wo-der-wahre-wert-der-ki-liegt\u002F","\u002Fblogs\u002Fen\u002Fki-plattform-statt-chatbots-wo-der-wahre-wert-der-ki-liegt",{"title":374,"subtitle":375,"description":376,"date":377,"logo":378,"link":379,"path":380},"AI Trends 2026: The Era of Model Convergence","Blog series «AI Trends 2026» - Part 1","AI Trends 2026: Why the raw intelligence of models is becoming interchangeable and how the rivalry between China and\nthe USA is driving down the price of AI.\n","2026-02-25","\u002Fimages\u002Fpresentations\u002Fai_trends_2026_blog_series\u002Fpart_1.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fki-trends-2026-die-aera-der-modell-konvergenz\u002F","\u002Fblogs\u002Fen\u002Fki-trends-2026-die-aera-der-modell-konvergenz",{"title":382,"subtitle":383,"description":384,"date":385,"logo":386,"link":387,"path":388},"The Last Line of Defence: Data Protection & PII Security in AI","Blog series «Requirements for Modern AI Infrastructure» - Part 8","This post is part of our eight-part series on the most important requirements for a modern, secure, and sovereign\nAI infrastructure. Having covered topics such as strategic model independence (Part 2), cost control (Part 3),\ninternal knowledge management via RAG (Part 4), automated data refresh (Part 5), quality measurement (Part 6),\nand full traceability through tracing (Part 7) in previous parts, the final instalment addresses one of the most\ncritical points of all: protecting sensitive data.\n","2026-01-12","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_8.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fdas-letzte-bollwerk-datenschutz-pii-schutz-in-der-ki\u002F","\u002Fblogs\u002Fen\u002Fdas-letzte-bollwerk-datenschutz-pii-schutz-in-der-ki",{"title":390,"subtitle":391,"description":392,"date":393,"logo":394,"link":395,"path":396},"Transparency: What Happens Inside the AI Agent?","Blog series «Requirements for Modern AI Infrastructure» - Part 7","This post is part of our eight-part series on the most important requirements for a robust, scalable, and\noperationally reliable AI infrastructure. While previous parts covered the importance of the LLM gateway (Part 2),\ncost control (Part 3), RAG (Part 4), ingestion pipelines (Part 5), and evaluation frameworks (Part 6), we now\naddress another central element that is frequently underestimated in practice: traceability.\n","2026-01-08","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_7.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Ftransparenz-was-passiert-im-inneren-des-ki-agenten\u002F","\u002Fblogs\u002Fen\u002Ftransparenz-was-passiert-im-inneren-des-ki-agenten",{"title":398,"subtitle":399,"description":400,"date":401,"logo":402,"link":403,"path":404},"No More Flying Blind on AI Updates","Blog series «Requirements for Modern AI Infrastructure» - Part 6","This post is part of our eight-part series on the core building blocks of a robust AI infrastructure.\nAfter showing in previous parts how LLM gateways (Part 2), cost control (Part 3), RAG systems (Part 4), and\nautomated ingestion pipelines (Part 5) make your AI stable and reliable, we now turn to another critically\nunderestimated challenge: quality assurance during model updates.\n","2026-01-05","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_6.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fschluss-mit-dem-blindflug-bei-ki-updates\u002F","\u002Fblogs\u002Fen\u002Fschluss-mit-dem-blindflug-bei-ki-updates",{"title":406,"subtitle":407,"description":408,"date":409,"logo":410,"link":411,"path":412},"The Ticking Time Bomb: Outdated AI Knowledge Bases","Blog series «Requirements for Modern AI Infrastructure» - Part 5","This post is part of our eight-part series on the core requirements for a modern AI infrastructure.\nAfter showing in Part 4 how RAG (Retrieval-Augmented Generation) prevents hallucinations and supplies AI with\ngenuine company knowledge, the focus now turns to an often underestimated question: how does that knowledge stay current?\n","2025-12-22","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_5.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fdie-tickende-zeitbombe-veraltete-ki-wissensbasen\u002F","\u002Fblogs\u002Fen\u002Fdie-tickende-zeitbombe-veraltete-ki-wissensbasen",{"title":414,"subtitle":415,"description":416,"date":417,"logo":418,"link":419,"path":420},"How AI Uses Your Internal Knowledge Without Hallucinating","Blog series «Requirements for Modern AI Infrastructure» - Part 4","This post is part of our eight-part series on the most important requirements for a future-proof AI infrastructure.\nAfter introducing the LLM gateway as a strategic enabler in Part 2 and showing in Part 3 how centralised control\nmakes costs manageable, we now turn to another critical building block: giving AI access to your internal knowledge.\n","2025-12-16","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_4.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fso-nutzt-ki-ihr-internes-wissen-ohne-halluzinationen\u002F","\u002Fblogs\u002Fen\u002Fso-nutzt-ki-ihr-internes-wissen-ohne-halluzinationen",{"title":422,"subtitle":423,"description":424,"date":425,"logo":426,"link":427,"path":428},"How to Make Uncontrollable AI Costs Predictable","Blog series «Requirements for Modern AI Infrastructure» - Part 3","This post is part of our eight-part series on the technical requirements for a future-proof AI infrastructure.\nFollowing Part 1 (\"What AI Infrastructure Really Means\") and Part 2 (\"Avoiding Vendor Lock-In with the LLM Gateway\"),\nwe now turn to one of the central challenges of any AI rollout: costs.\n","2025-12-12","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_3.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fwie-sie-unkontrollierbare-ki-kosten-planbar-machen\u002F","\u002Fblogs\u002Fen\u002Fwie-sie-unkontrollierbare-ki-kosten-planbar-machen",{"title":430,"subtitle":431,"description":432,"date":433,"logo":434,"link":435,"path":436},"Avoiding Vendor Lock-In: Why an LLM Gateway Secures Business Sovereignty","Blog series «Requirements for Modern AI Infrastructure» - Part 2","The requirements for a future-proof AI infrastructure are wide-ranging.\nIn this eight-part blog series we examine step by step the technical foundations companies need\nto operate AI in a scalable, secure, and sovereign way.\n","2025-12-10","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_2.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fvendor-lock-in-vermeiden-warum-ein-llm-gateway-unternehmerische-souveraenitaet-sichert\u002F","\u002Fblogs\u002Fen\u002Fvendor-lock-in-vermeiden-warum-ein-llm-gateway-unternehmerische-souveraenitaet-sichert",{"title":438,"subtitle":439,"description":440,"date":441,"logo":442,"link":443,"path":444},"What AI Infrastructure Really Is (And What It Is Not)","Blog series «Requirements for Modern AI Infrastructure» - Part 1","Ask about \"AI infrastructure\" and the most common answer is: \"GPU clusters and compute power.\"\nThat association is understandable, but it is misleading for long-term business success. Robust\nAI infrastructure is more than a hardware topic; it is a strategic platform approach.\n","2025-12-04","\u002Fimages\u002Fpresentations\u002Fai_infrastructure_blog_series\u002Fpart_1.png","https:\u002F\u002Fbbv.ch\u002Finsights\u002Fblog\u002Fwas-ist-ki-infrastruktur-wirklich-und-was-nicht\u002F","\u002Fblogs\u002Fen\u002Fwas-ist-ki-infrastruktur-wirklich-und-was-nicht",1779977581956]