PodcastsBildungA Beginner's Guide to AI

A Beginner's Guide to AI

Dietmar Fischer
A Beginner's Guide to AI
Neueste Episode

356 Episoden

  • A Beginner's Guide to AI

    Why Google DeepMind Changed How Businesses Think About AI

    17.05.2026 | 36 Min.
    🧠🤖 Stop Using AI Just for Content. Start Using It for Discovery
    Most businesses still treat AI like a faster writing assistant: useful for summaries, captions, reports, and endless slightly polished LinkedIn posts. But Google DeepMind points to something much bigger. From AlphaGo’s historic victory over Lee Sedol to AlphaFold’s breakthrough in protein structure prediction, DeepMind shows us that AI is becoming a tool for discovery, not just automation.

    In this episode of A Beginner’s Guide to AI, Dietmar Fischer explores what marketers, founders, and executives can learn from Google DeepMind. The central idea is simple but powerful: modern AI systems learn patterns from data, improve through feedback, and help humans explore problems that are too complex to solve manually.
    You’ll hear why AlphaGo was not just a board game story, why AlphaFold became one of the clearest examples of AI as a scientific tool, and why marketers should stop treating AI like a content vending machine. The better question is not “Can AI write this for me?” The better question is: “What hidden pattern can AI help me find?”

    💡💡💡
    Don't forget to go to Nebius, as they help us keeping up the good work!
    Have a look at their Token Factory, where you can easily implement great LLMs in your company's workflows.
    Visit them at Nebius.com 🚀
    💡💡💡

    🧩 Key highlights from this episode:
    🤖 What Google DeepMind actually is and why it matters
    ♟️ How AlphaGo showed the power of AI learning systems
    🧬 Why AlphaFold turned AI into a serious scientific discovery tool
    📊 How AI pattern recognition applies to marketing and business strategy
    ⚠️ Why bad data and unclear goals create dangerous AI outputs
    🧠 How marketers can use AI for insight, not just content production
    🔍 Why human judgement remains essential when working with AI

    📧💌📧
    Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠
    📧💌📧

    Quotes from the Episode
    “Stop asking AI only for content. Start asking it for insight.”
    “Good AI does not replace experts. It helps experts move faster.”
    “The machine helps. The humans decide what matters.”

    Chapters
    00:00 Google DeepMind: Why This AI Lab Matters
    04:10 AlphaGo and the Shift From Rules to Learning
    10:30 AlphaFold: AI as a Scientific Discovery Tool
    18:45 The Cake Example: How AI Learns From Patterns
    24:20 What Marketers Can Learn From DeepMind
    31:50 Practical AI Tips: Ask for Insight, Not Just Content
    38:20 Recap: From Automation to Discovery
    42:30 Signature Sign-Off: The Machine Helps, The Human Decides

    About 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
    Hosted on Acast. See acast.com/privacy for more information.
  • A Beginner's Guide to AI

    AI At Work: Agents Are Already Here - A Conversation with Sam Ransbotham

    15.05.2026 | 48 Min.
    AI agents are rapidly becoming one of the most influential technologies inside modern organizations — often without leaders even realizing the shift. In this episode, Dietmar Fischer sits down with MIT Sloan podcast host Sam Ransbotham to uncover why AI agents and agentic AI systems are spreading through enterprises at remarkable speed.

    Based on a global study of 2,100 executives across 116 countries, Sam shares how AI agents improve productivity, increase job satisfaction, and fundamentally reshape how companies work. From Chevron’s proactive exploration tools to the rise of autonomous knowledge assistants, we explore the surprising ways enterprise AI adoption is unfolding in real time.

    📧💌📧
    Tune in to get my thoughts and all episodes — don’t forget to subscribe to our Newsletter: beginnersguide.nl
    📧💌📧

    This wide-ranging conversation covers practical use cases, risks and transparency issues, the future of generalists vs specialists, how universities adapt to AI, and why understanding the technology still matters deeply.

    Quotes from the Episode
    “We’re moving from tools we command to tools that proactively act on our behalf.”

    “AI agents don’t just make us more productive; they make us happier by removing the parts of work we dislike.”

    “Understanding AI makes you a better user of AI. Depth still matters.”

    Chapters
    00:00 Welcome & How Sam Got Into AI
    03:21 What Are AI Agents? Definitions and Early Insights
    07:14 Real Enterprise Use Cases of AI Agents
    12:05 Job Satisfaction, Productivity, and Human-AI Collaboration
    17:20 Generalists, Specialists & the Future of Work
    22:30 Risks, Transparency & Avoiding an Oppressive AI Future
    28:45 How Companies Should Start with Agentic AI
    33:20 AI in Education and Changing Learning Environments
    39:00 Sam’s Personal Use of AI — What Works and What Doesn’t
    41:20 Terminator vs Matrix? AI Futures
    42:41 Where to Find Sam and the MIT Sloan Study

    Where to Find the Sam Ransbotham
    site at Boston College
    Or you find him on LinkedIn
    The study of MIT Sloan lies here
    And, last, but not least, Sam's podcast “Me, Myself, and AI”!

    About Dietmar Fischer:
    Dietmar is a podcaster and AI marketer from Berlin. If you want to elevate your AI or digital marketing strategy, get in touch anytime at argoberlin.com

    Music credit: “Modern Situations” by Unicorn Heads 🎵
    Hosted on Acast. See acast.com/privacy for more information.
  • A Beginner's Guide to AI

    AI Will Never Be A Leader - Says Sally Bendersky

    13.05.2026 | 52 Min.
    What happens to leadership when AI can analyze faster, structure better, and answer almost anything in seconds?

    In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Sally Bendersky, engineer, executive coach, leadership expert, and founder of New Leadership, about why AI makes human leadership more important, not less.

    Sally argues that AI is a phenomenal assistant. It can recognize patterns, organize information, support better questions, and help leaders think more deeply. But it cannot replace the human parts of leadership: trust, intention, values, emotional intelligence, purpose, and responsibility.

    This conversation is especially relevant for business leaders, founders, consultants, coaches, marketers, and anyone trying to understand AI beyond the hype. AI may make management easier, but leadership becomes more demanding. The real question is not whether AI will replace leaders. The better question is whether leaders are ready to become more human.

    In this episode, we explore:
    🧠 Why AI can help leaders think more clearly
    👥 Why leadership is not the same as management
    ⚖️ Why responsible AI starts with human intention
    💬 How AI can help us ask better questions
    🚫 Why ChatGPT should not become your boss
    🌍 Why AI risk is really a human leadership problem
    🔍 Why the future of AI depends on values, not just prompts

    📧💌📧
    Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠
    📧💌📧

    About Your 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

    Quotes from the Episode
    “AI doesn’t have intentions. It’s we who have intentions.”
    “Leadership is a people’s issue. Management is a process issue.”
    “AI has no emotional intelligence. AI has no wishes.”
    “AI will never be a leader.”
    “It could take our jobs if we don’t develop ourselves.”

    Chapters
    00:00 Sally Bendersky on Innovation, Coaching, and Engineering
    03:36 What AI Cannot Replace in Human Leadership
    07:12 Leadership Is Human, Management Is Process
    13:44 How AI Helps Leaders Ask Better Questions
    22:43 Responsible AI Use, Better Prompts, and Human Judgment
    31:08 Debating with AI and the Real Future Risk

    Where to Find Sally Bendersky
    LinkedIn: Sally Bendersky
    Website: sallybcoach.com
    Contact: Available through Dietmar Fischer
    Hosted on Acast. See acast.com/privacy for more information.
  • A Beginner's Guide to AI

    The Cost of Being Invisible in ChatGPT - With Joseph Levi

    11.05.2026 | 46 Min.
    AI search is changing how customers discover, evaluate and choose brands. In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Joseph Levi, CEO of Noise Media, about Generative Engine Optimization, AI brand visibility and why appearing in ChatGPT, Gemini or Perplexity answers may soon matter as much as ranking on Google.

    Joseph explains why GEO is not just another marketing abbreviation. It marks a shift from an internet read mainly by humans to an internet increasingly interpreted by AI agents. Instead of fighting only for blue links, brands now need to make sure AI systems understand who they are, what they do and why they should be recommended.

    You’ll hear why AI agents often misunderstand brands, how schema and FAQs can help, why authority matters more than keyword repetition, and why smaller specialist companies may have a real opportunity in AI search.

    📧💌📧
    Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠
    📧💌📧

    🎧 In this episode, we cover:
    🤖 What Generative Engine Optimization means
    🔍 Why SEO and GEO are not the same
    💬 How brands can appear in ChatGPT answers
    📈 Why authority, citations and reviews matter
    🧠 How AI agents are changing the customer journey
    🎬 Why AI tools still need human creativity
    ⚠️ Why leaders should not outsource their thinking to ChatGPT

    About 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

    Quotes from the Episode
    “We’re moving away from an internet which is read purely by humans, to an internet which is now read by agents.”
    “AI trusts a lot more what others say about you than what you say about yourself.”
    “It’s very dangerous to go straight to an LLM and ask them to provide the answer.”

    Chapters
    00:00 Welcome Joseph Levi
    01:42 Why Brands Must Act Early on AI Search
    04:21 GEO, AEO and the New Marketing Acronyms
    06:28 SEO vs GEO: Links, Answers and Authority
    10:21 How AI Agents Understand or Misunderstand Your Brand
    14:02 Schema, FAQs and Building Expert Authority
    21:22 Why GEO Is Different from Traditional SEO
    24:28 How Marketing Teams Should Approach GEO
    27:32 AI Agents and the New Customer Journey
    30:28 AI Video, Tools and Human Creativity
    33:53 AI Leadership and Better Decision-Making
    36:04 Wow Moments: AI Video, Robots and Waymo
    39:08 AI Risks, Jobs and the Future
    40:58 Where to Find Joseph Levi

    Where to find Joseph Levi
    🌐 Noise Media: noisemediagroup.co.uk
    🌐 Find yourself at Vudo: vudo.ai
    🔗 LinkedIn: Joseph Levi
    Hosted on Acast. See acast.com/privacy for more information.
  • A Beginner's Guide to AI

    AI Is Killing Transaction Costs, But Who Gets the Money?

    10.05.2026 | 37 Min.
    Stop Thinking of AI as a Content Machine, Start Seeing It as a Bargain Machine
    AI is not just changing how businesses write content, automate tasks, or analyse data. It is changing how markets work. In this episode of A Beginner’s Guide to AI, we connect artificial intelligence with the Coase Theorem, the classic economic idea that explains how people bargain over resources when transaction costs are low.

    This episode looks at AI transaction costs, algorithmic pricing, smart contracts, platform power, and the hidden cost of frictionless automation. You will learn why AI is not only a productivity tool, but a coordination machine that changes how companies, customers, platforms, creators, and markets exchange value.

    We start with the Coase Theorem in simple language: if bargaining were free and easy, people could often find the most efficient solution. Then we bring in AI. AI can reduce the cost of finding information, comparing options, drafting agreements, monitoring outcomes, matching people, and enforcing deals. That is powerful for business, marketing, ecommerce, travel, marketplaces, and platform strategy.

    💡💡💡
    Don't forget to go to Nebius, as they help us keeping up the good work!
    Have a look at their Token Factory, where you can easily implement great LLMs in your company's workflows.
    Visit them at Nebius.com 🚀
    💡💡💡

    But there is a catch. Lower friction does not automatically mean fairer outcomes. Using Uber and algorithmic pricing as a case study, we look at how AI can make a marketplace faster and smoother while also raising difficult questions about transparency, dynamic pricing, bargaining power, and who captures the value created by automation. Oxford research has raised concerns about Uber’s dynamic pricing and how value is shared between passengers, drivers, and the platform.

    📧💌📧
    Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠
    📧💌📧

    Key highlights:
    🤖 Why AI is a coordination machine, not just a content machine
    📉 How AI reduces transaction costs in business
    💸 Why algorithmic pricing changes marketplaces
    ⚖️ Why efficiency is not the same as fairness
    🔍 What marketers miss about AI, data, and bargaining power
    🧠 Why every business will need more AI transparency

    About 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

    Quotes from the Episode
    “AI is not just a content machine. It is a coordination machine.”
    “The algorithm may remove the awkward negotiation, but it may also hide who is winning.”
    “The better question is not whether AI makes the deal easier. The better question is: who controls the deal once AI makes it easier?”

    Chapters
    00:00 Why AI Makes Bargaining Cheaper
    02:20 The Coase Theorem in Plain English
    07:10 How AI Reduces Transaction Costs
    13:40 The Cake Stall and the Noisy Blender
    17:00 Uber, Algorithmic Pricing, and Platform Power
    23:20 Practical Tips for Spotting the Hidden Bargain
    27:10 Recap and Signature Sign-Off
    Hosted on Acast. See acast.com/privacy for more information.
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Über A Beginner's Guide to AI
"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode asks someone working with AI about what they do and how AI can help you. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us as we take the first steps into AI 🚀 Hosted on Acast. See acast.com/privacy for more information.
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