"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode either asks someone working with AI about what they do and how AI can help you or it explains an important concept/idea.
Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us and learn everything you need to know on how to use AI in the best way 🚀
🎙️ About The Host, Dietmar Fischer
Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com
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AI is transforming the real estate industry — but what does that really mean for agents on the ground? In this episode of Beginner’s Guide to AI , host Dietmar Fischer sits down with Andrew Reville , founder of PeakAgent , to explore how artificial intelligence is reshaping the way agents work, market, and connect with clients. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter...
Boobesh Ramaurai on the Future of Data and AI In this episode, I sit down with Boobesh Ramaurai of LatentView to explore the future of data and AI—from his early days in analytics to today’s transformative AI landscape. Boobesh shares how curiosity led him into the world of analytics back in 2006, why execution is more important than ideas, and how data-driven decision making is reshaping businesses across industries. 📧📧📧 Tune in to get my thoughts and all episodes, don't forget to ...
🚀 In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Naga Santhosh Reddy Vootukuri (aka Sunny), a Principal Software Engineering Manager at Microsoft working on Azure SQL deployment infrastructure. Sunny shares his personal journey into AI, from early ChatGPT experiments in late 2022 to using AI tools in production workflows, and what actually changed his day to day work. 💡 You’ll hear how he thinks about GitHub Copilot inside Visual Studio, where it saves time, and where e...
AI Leadership for the Agent Era: Building Hybrid Organizations with Dominic von Proeck AI is entering its operational phase. In this episode, Dominic von Proeck, Co-Founder of Leaders of AI, breaks down what AI transformation looks like when you stop collecting prompts and start building agent-powered teams. We talk about why owner-led companies and the German Mittelstand can move faster than many expect, and why the most important capability is not technical wizardry but leadership: clear deleg...
✨ Unlock a Future Where AI Inspires Leadership—not Replaces It In this episode, Dietmar Fischer speaks with Ja-Naé Duane and Steven Fisher , co-authors of the book SuperShifts , about what leadership really looks like in the age of artificial intelligence. Instead of framing AI as just another technology trend, the conversation explores AI leadership as a systemic and human challenge. Drawing on their work with global organizations and executives during and after the pandemic, Ja-Naé and Steven ...
AI adoption is not only a technology shift, it is a leadership and culture shift. In this episode, Dietmar Fischer talks with Bala Muthiah about AI leadership, the psychology behind AI resistance in the workplace, and the practical steps leaders can take to turn curiosity into day to day usage. Bala shares why the human aspect still decides outcomes, even when the tools feel magical. You will learn how leaders can reduce fear, build confidence, and guide teams through real AI upskilling strategy...
🤖🧠 Thinking with Machines with Vasant Dhar What happens when AI stops being a tool and starts becoming a collaborator and an agent? In this episode, NYU Stern professor and AI pioneer Vasant Dhar takes us through the real story behind modern AI, and the practical frameworks we need for AI trust, AI governance, and the coming era of agentic AI. 🚀 What you will learn - Why “thinking with machines” is a bigger idea than “thinking machines” - How the automation frontier separates low-risk automat...
Most people think better AI results come from better prompts. This episode proves why that’s wrong. Professor GePhardT introduces Context Engineering , the missing skill that transforms AI from a confused parrot into a capable collaborator. Through relatable metaphors, real business examples, and a deliciously British cake analogy, you’ll learn how shaping an AI’s environment matters more than clever wording. You’ll discover: Why prompt engineering alone fails How context helps AI understand int...
Michael Sacca (Leadpages) on AI-powered landing pages, personalization, and the future of search 🚀 In this conversation, Michael Sacca shares how Leadpages is weaving AI landing page optimization into real marketing workflows - from personalization that actually moves the needle to what Answer Engine Optimization (AEO) means for search and conversions. 📧📧📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newslette...
This episode features Jeetu Patel of Cisco, exploring how leaders can embrace AI to transform organizations, not by replacing people, but by empowering them to achieve unprecedented innovation. He highlights Cisco's journey to becoming an AI-first company, emphasizing clear communication, continuous education, and strategic partnerships. Patel also delves into the nuanced application of AI for personal growth, the art of asking better questions, and the critical balance between AI's vast potential and the necessary mitigation of its inherent risks for a safer future.
Europe has brilliant researchers, ambitious founders, and world-class industry. Yet the AI race is being dominated elsewhere. In this episode, Dietmar Fischer talks with Fabian Westerheide, founder of Rise of AI, about why Europe is struggling with AI sovereignty, infrastructure, and execution, and what entrepreneurs can do right now to stay competitive. Fabian explains how Rise of AI grew over a decade from early community meetups into a curated conference and ecosystem hub where Europe’s most ...
Hollywood loves a good AI apocalypse—but how likely is a real-life Skynet scenario? In today's episode of A Beginner's Guide to AI , Professor GePhardT takes you on an entertaining yet eye-opening journey into Artificial General Intelligence (AGI). From understanding why films like The Terminator shape our deepest AI anxieties, to real-world safety measures inspired by these sci-fi nightmares, this episode breaks down exactly how humanity can steer advanced AI towards a beneficial future—rather ...
Yvette Schmitter discusses the uncomfortable truths of modern AI, highlighting how convenience transforms citizens into mere data points and the ethical dilemmas this creates. She explores issues like biased AI in hiring, the lack of return on investment for many AI initiatives, and the critical need for robust data governance and regulatory guardrails. The episode urges listeners to think critically about AI's pervasive impact on privacy, security, and societal equity.
In this episode of A Beginner’s Guide to AI, Professor GePhardT takes The Cluetrain Manifesto’s famous idea markets are conversations and stress tests it in the age of generative AI. In 1999, Cluetrain demanded that brands stop sounding like machines and start speaking with a human voice. Today, AI can generate that human sounding voice on demand, which creates a new problem: it becomes easy to sound authentic while becoming less trustworthy. You will learn why conversational marketing is not ab...
How is artificial intelligence transforming the way we approach marketing? In this episode, we dive deep with Kasper Sierslev, founder of Zite , to uncover the real-world opportunities and challenges of AI in marketing. Discover how forward-thinking brands are leveraging AI tools to spark creativity, streamline campaigns, and stay ahead in a rapidly evolving digital landscape. 📧💌📧 Ready to take your business to the next level? Subscribe for more AI strategies, share your questions in the comm...
The Rising Cost of Intelligence: What Expensive AI Means for the World Artificial intelligence is reshaping how we work, learn, and create. But as frontier AI models become more capable, their costs are rising faster than ever. This episode of A Beginner’s Guide to AI dives into the global AI divide, exploring how price, compute, infrastructure, and access are quietly determining who benefits from AI and who risks falling behind. Listeners will discover why advanced AI models cost so much to tra...
Context rot is one of the most underestimated risks in artificial intelligence today. In this episode of A Beginner’s Guide to AI , we explore how AI systems trained on static data slowly drift away from reality while continuing to sound confident, helpful, and persuasive. You’ll learn why large language models struggle with time, why feeding more information into AI can backfire, and how outdated knowledge quietly sabotages decisions in marketing and business. This episode explains the differen...
Machine learning is everywhere, yet rarely understood. In this episode of A Beginner’s Guide to AI , we strip away the hype and explain how machine learning actually works, why it’s so powerful, and where it quietly goes wrong. You’ll learn how machines are trained on data rather than rules, why predictions are not understanding, and how real-world systems can produce unfair outcomes even when they look accurate. A real healthcare case shows how a cost-based algorithm systematically underestimat...
REPOST due to low podcast listener activity - if you listen now, you are the exception 😉 Ever wondered how Netflix knows exactly what you'll binge next or how big brands like Delta Air Lines turn multimillion-dollar sponsorships into concrete sales? Welcome back to A Beginner's Guide to AI , where today we're uncovering the fascinating world of AI inference —the secret sauce behind machine-made predictions. --- --- --- A word from our Sponsor : Sensay creates AI-powered digital replicas to pres...
REPOST DUE TO WRONG AUDIO TRACK. Changed it, but many may have missed the right episode. Is intelligence something we’re born with, or do we learn everything from scratch? That’s not just a question for philosophers - it’s at the core of artificial intelligence today. In this episode of A Beginner’s Guide to AI , we explore the great debate between nativism and deep learning . Nativism suggests that some knowledge is built-in, like the way babies instinctively pick up language. Deep learning, on...
AI vs. Automation: Why Repetitive Marketing is Failing REPOST due to low podcast listener activity - if you listen now, you are the exception 😉 Ever received the same email twice—word for word, from two different people? That’s not AI, that’s bad automation. And it happens way more often than it should. In this episode, we break down the key difference between automation and artificial intelligence —why one just follows rules while the other actually thinks . With a real-world case study straig...
Ever wonder how Netflix knows your next binge-watch, or why your bank spots fraud before you do? In this lively episode of A Beginner’s Guide to AI , Professor GePhardT lifts the lid on predictive AI—the hidden tech wizard quietly shaping our daily lives. From forecasting retail trends at Target to critical healthcare interventions, predictive AI isn't just predicting the future; it's already shaping it. But there’s a catch: with great power comes the thorny challenge of bias and ethics. Join th...
Artificial intelligence has become incredibly convincing. It talks smoothly, reacts instantly, and often feels surprisingly human. In this episode of A Beginner’s Guide to AI , Prof. GepHardT explores why that feeling can be misleading — and why it matters. Drawing on literature, psychology, and real-world AI design, the episode explains how modern AI systems simulate intelligence without understanding, why humans instinctively project emotions onto machines, and where ethical risks begin when a...
Artificial intelligence breakthroughs might appear magical from the outside, but underneath lies a predictable and surprisingly elegant structure. This episode of A Beginner’s Guide to AI takes listeners on a clear and engaging journey into the three scaling laws of AI, exploring how model size, dataset size, and compute power work together to shape the intelligence of modern systems. Through practical explanations, entertaining analogies, and detailed real-world case studies, this episode demys...
🚀 Matt Weaver, Solutions Engineering Leader at OpenAI, takes us inside the launch of GPT-5, the rise of AI agents, and how these tools are transforming industries. From practical business adoption tips to exploring advanced features like Deep Research and Custom GPTs, this episode is packed with actionable insights. 📧 Tune in to get my thoughts, tips and tricks and all the episode in your mailbox: beginnersguide.nl 💡 What you’ll learn in this episode: How GPT-5 chooses the right reasoning mod...
Step into the future of artificial intelligence with Fred Jordan as he introduces “Biocomputing”—the next evolutionary leap for AI. In this episode, Fred unpacks how biocomputing uses nature’s own design principles to build more adaptive, resilient, and intelligent systems. 📧💌📧 Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter ! 📧💌📧 Highlights from the episode: What “Biocomputing” is, and why it matters for the future of AI How biocomputing fundamentally diffe...
📖 AI-Created Books: Chance or Threat? In this eye-opening episode of A Beginner’s Guide to AI , Professor GePhardT unpacks the fascinating, chaotic and sometimes alarming rise of AI-generated books. From Amazon’s restrictions on AI content to the ethics of machine-written storytelling, this episode dives deep into the future of publishing and what it means for readers, writers and creators. We explore how AI-written books are made, why platforms are overwhelmed and how readers can distinguish h...
// This is a repost of a great episode - and why, you ask yourself, did he not publish a new episode? Because you are nearly the only one listening to my podcast on the Thanksgiving weekend 😂 The Terminator films have profoundly shaped how society thinks about artificial intelligence. This episode analyzes concepts like artificial general intelligence through the lens of Skynet, the malevolent AI in the movies. We explore real-world AI safety research inspired by cautionary sci-fi narratives. T...
AI’s Biggest Secret: It’s Addicted to Being Average Large Language Models are masters of fluency but victims of probability. In this episode, Professor GePhardT unpacks why averaging—inside embeddings, attention mechanisms, and token probabilities—quietly drains AI of originality. Through humour, insight, and one brilliant case study from the University of Tübingen, we explore how “safe” AI outputs create the illusion of intelligence while smothering creativity. From mathematical foundations to ...
AI tools for business coaching are transforming how leaders and professionals unlock performance and personal growth. In this episode of Beginner’s Guide to AI, Lisa Turner of CETfreedom joins Dietmar Fischer to share real-world strategies and 40+ actionable AI tools that help coaches, entrepreneurs, and business leaders boost results. 📧💌📧 Ready to take your business to the next level? Subscribe for more AI strategies, share your questions in the comments, and visit our website for free resou...
