A Beginner's Guide to AI

Dietmar Fischer

"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.

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

    34 MIN AGO

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

    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?” Chapters00:00 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.

    38 min
  2. The Secret Behind Most AI Tools: RAG. Alex Kihm Explains It Simply // REPOST

    1 DAY AGO

    The Secret Behind Most AI Tools: RAG. Alex Kihm Explains It Simply // REPOST

    In this episode of Beginner’s Guide to AI, we sit down with Alex Kihm, founder of POMA AI, to explore how enterprises can finally make sense of their data. AI search is broken, RAG often fails, and corporate documents are notoriously hard for LLMs to interpret. Alex explains how POMA AI’s patented method reconstructs structure inside unstructured data, enabling powerful, accurate enterprise search. You’ll hear how his journey from engineering to legal tech to big-data econometrics led to a breakthrough in information structuring. Alex shares why PDFs confuse AI systems, how chunking destroys meaning, and why context engines will replace classical retrieval systems. This is a deep, funny, insightful conversation about what AI can and cannot do — and how companies can use it responsibly. 💡💡💡 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 🚀 💡💡💡 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl 📧💌📧 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to elevate your AI strategy or your digital marketing, feel free to reach out anytime at Argoberlin.com Quotes from the Episode “Chunking is like reading wrongly sorted text messages from the 90s.”“Intelligence is pattern recognition — and most enterprise data is not recognisable to machines.”“PDF was made for printers, not for AI.”“POMA AI restores the spatial awareness inside documents — the missing context that LLMs need.”“We don’t do RAG anymore. We build context engines.”“If your AI breaks the world, show me the invoice.” Chapters 00:00 Welcome and Introduction 02:45 Alex Kihm’s Background: Engineering, Legal Tech and Early AI Work 10:32 The Problem with RAG, Training, Fine-Tuning and Hallucinations 18:55 The Birth of POMA AI and Solving the Chunking Problem 32:40 How POMA AI Rebuilds Document Structure and Enables True Enterprise Search 45:50 AI Safety, Manipulation Bots and The Future of AI in Business 52:10 Where to Find Alex Kihm and Closing Thoughts Where to Find the Dr. Alex Kihm All you need to know about chunking strategies, you'll find here: poma-ai.comContact Alex on LinkedIn! Music credit: "Modern Situations" by Unicorn Heads And one last thing: WEBSITE WITHOUT WEBMASTER - it's like driving without Belt. You can do it, but things can really get sideways ☠️ So, check out our Webmaster Services for your WordPress website: it's cheap, it's reliable, it's what you need 🦺 Hosted on Acast. See acast.com/privacy for more information.

    1hr 2min
  3. AGI: The AI Term Every Executive Should Understand

    2 DAYS AGO

    AGI: The AI Term Every Executive Should Understand

    AGI Is Not Just a Better Chatbot Artificial general intelligence, or AGI, may be one of the most important ideas in artificial intelligence, but it is also one of the easiest to misunderstand. In this episode of A Beginner’s Guide to AI, we look at what AGI really means, why it is different from today’s narrow AI tools, and why business leaders, founders, marketers, and executives should care before the hype takes over completely. Today’s AI can already write emails, generate images, summarise reports, analyse customer feedback, suggest campaign ideas, and support marketing workflows. But AGI would be something different. It would be an AI system that can learn, reason, adapt, and solve problems across many areas, not just perform one specific task. That shift matters for business. AGI would not only help companies create content faster. It could influence marketing strategy, decision-making, customer targeting, business operations, and even the question of what goals a company should pursue. And that is where things become both exciting and deeply uncomfortable. 💡💡💡 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 🚀 💡💡💡 In this episode, we explore why AI alignment, responsible AI, and human judgement matter so much. If a powerful AI system is told to maximise engagement, it may learn that outrage works. If it is told to reduce customer service costs, it may damage trust. If it is told to increase conversions, it may become persuasive in ways that are not exactly charming. We also look at AlphaGo and AlphaZero, two famous DeepMind systems that showed how AI can become superhuman in specific tasks without becoming generally intelligent. That distinction is crucial for every company using AI today. A machine can be brilliant at one task and still fail in the messy human world of customers, culture, ethics, brand trust, and business strategy. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 Key highlights from this episode:🧠 What artificial general intelligence means in plain English 🤖 The difference between narrow AI and AGI 📈 Why AGI could change business strategy and marketing ⚠️ Why AI alignment and responsible AI matter 🎯 What AlphaGo teaches us about superhuman narrow AI 🧭 Why AI agents need human judgement, not blind trust 💼 How business leaders can prepare for more capable AI systems Quotes from the Episode:“Today’s AI helps us complete tasks. AGI would help decide which tasks matter.”“Superhuman performance is not the same as general intelligence.”“If machines become better at sounding intelligent, humans must become better at thinking clearly.” About Dietmar FischerDietmar 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 Chapters:00:00 AGI and the Swiss-Army Brain We Haven’t Built Yet 04:20 What Artificial General Intelligence Actually Means 10:35 Why AGI Matters for Business and Marketing 16:50 The Cake Example: From Recipe Bot to Kitchen Genius 20:10 AlphaGo, AlphaZero, and the AGI Misunderstanding 27:45 Practical Tips for Using AI Without Losing Human Judgement 34:30 The Big AGI Takeaway and Sign-Off Hosted on Acast. See acast.com/privacy for more information.

    29 min
  4. Human vs. Machine or: Why still play Chess if AI is Better at it?

    4 DAYS AGO

    Human vs. Machine or: Why still play Chess if AI is Better at it?

    AI can write, generate images, suggest chess moves, edit photos, draft campaigns, and produce more content than most teams can handle. So what is left for humans? In this episode of A Beginner’s Guide to AI, we look at why human creativity still matters in the age of AI and why faster output is not the same as better work. AI-generated content can help businesses move quickly, but it can also make brands sound generic, polished, and strangely lifeless if humans stop guiding the process. Using chess, photography, and marketing as simple examples, this episode explains the difference between output value and process value. AI can help produce the finished thing, but humans still bring intention, memory, taste, ethics, emotional judgement, and lived context. That human layer is what keeps AI-assisted work meaningful, trustworthy, and useful. For marketers, founders, executives, and business professionals, the real challenge is not whether AI can create content. The real challenge is whether your company can use AI without losing authenticity, customer trust, and strategic judgement. 💡💡💡 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:🤖 Why AI can help creativity but should not replace human judgement ♟️ What chess teaches us about AI, learning, and strategic thinking 📸 Why photography still matters when AI can generate perfect images 🧠 Why human taste becomes more valuable when content production becomes cheap 📣 How marketers can avoid generic AI-generated content ⚖️ Why AI ethics and responsibility matter in business communication 🚀 How to use AI as an amplifier, not as autopilot 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 👤 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 makes production easier. Selection becomes more important.”“AI as support, not surrender. AI as amplifier, not autopilot. AI as tool, not purpose.”“In a world overflowing with machine-made output, meaning may become the most valuable thing of all.” Hosted on Acast. See acast.com/privacy for more information.

    30 min
  5. Why AI Feels Human (And Why That’s a Problem)

    3 MAY

    Why AI Feels Human (And Why That’s a Problem)

    AI feels human. That’s the problem. In this episode of A Beginner’s Guide to AI, Dietmar Fischer breaks down one of the most misunderstood aspects of artificial intelligence: why we treat AI like a person and why that creates real business risks. You’ll discover how anthropomorphism shapes the way we interact with AI, why human-like responses increase trust, and how companies unintentionally push users into overestimating AI capabilities. This episode goes beyond the hype and focuses on what really matters: using AI without losing control. 💡💡💡 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 🚀 💡💡💡 🔥 What you’ll learn: Why AI sounds smart but isn’tThe psychology behind AI trustEmotional attachment to chatbotsThe business risks of human-like AIHow to think critically when using AI 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl 📧💌📧 👤 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 “Fluency is not proof of truth.”“The more human AI feels, the more we overtrust it.”“You’re not talking to a mind. You’re reacting to a pattern.” ⏱ Chapters 00:00 The Moment AI Feels Human 06:30 What Anthropomorphism Really Means 18:20 Why Your Brain Trusts AI 32:10 The Business Risk of Human-Like AI 48:45 Emotional Attachment and Real Cases 01:05:00 How to Use AI Without Losing Control Hosted on Acast. See acast.com/privacy for more information.

    29 min
  6. AI Governance That People Will Actually Follow, with Erica Shoemate

    30 APR

    AI Governance That People Will Actually Follow, with Erica Shoemate

    Why AI safety is the floor, not the ceiling, and how to pivot with power In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with AI policy and trust & safety leader Erica Shoemate about designing and protecting systems that center around people. This is not the usual Terminator question. It is the practical, urgent one: how do we ensure AI serves the most vulnerable, what does true operational security look like, and why is no technology ever truly neutral. 🌍🛰️ Erica also shares the strategic backbone of her work, including insights from her time across the FBI, the US intelligence community, and Big Tech. The conversation moves from hard data to hard ethics: ageism and bias in AI imagery, the dangers of echo chambers, and how her "Pivot Playbook" helps individuals navigate technological disruption and career changes without panic. If you are interested in AI governance, ethical tech development, and the future of inclusive AI, this episode gives you a rare blend of practical safety thinking and rigorous strategic planning. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 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 🎧 Chapters 00:00 Welcome and how Erica got her start in AI and national security 03:15 Why safety is the "floor" and protecting vulnerable populations 08:20 The myth of neutral technology and the danger of echo chambers 15:45 Real-world bias: ageism, imaging, and a lack of diversity in AI output 24:10 Operational security: practical tips to protect your personal data and family 32:30 The Pivot Playbook: navigating career disruption and avoiding paralysis 42:15 Are robots dangerous: The Terminator question, the Matrix, and shaping our future 48:30 Where to find Erica and final thoughts 💬 Quotes from the Episode “Safety to me is like the floor.” “No technology is ever neutral. None.” “Regardless of the intent, it is the impact that ultimately we want to get to and cut through.” “People are always peopling. So either people gotta do the right thing or they're not.” “Panic causes paralysis and that there's always power in the pivot.” “We grow in the valley even as difficult as it is.” 🌐 Where to find Erica Shoemate LinkedIn: https://www.linkedin.com/in/ericals/ Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    54 min
  7. Julian Goldie Scales 5 Videos a Day — Using an AI Clone of Himself // REPOST

    29 APR

    Julian Goldie Scales 5 Videos a Day — Using an AI Clone of Himself // REPOST

    Ever wished you could clone yourself to get more done? Julian Goldie actually did it — and built a content empire out of it. In this episode of A Beginner’s Guide to AI, host Dietmar Fischer talks with Julian about how he uses AI to create five videos a day, automate workflows, and still keep a personal, human touch that builds real trust with his audience. Julian reveals how he turned his initial fear of AI into a full-scale growth engine for his business, transforming his SEO agency into a modern AI-powered content studio. He shares the systems, tools, and mindset that helped him automate marketing, scale his team, and reach millions — all while avoiding the “AI slop” that floods the internet. 📧💌📧Tune in to get my thoughts and all episodes — don’t forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠📧💌📧 💡 Key Highlights How Julian scaled from one YouTube channel to nine using AI The tools behind his workflow: Descript, Claude, and HeyGen Why AI videos sometimes outperform human ones (and when they don’t) The importance of quality control and the “human in the loop” How AI can make leadership more human — through reflection and empathy Why it’s not humans vs AI, but humans with AI vs everyone else 🧠 Quotes from the Episode “I thought AI would destroy my agency — instead, it became my best employee.” “It’s not humans versus AI — it’s humans with AI versus everyone else.” “My AI avatar never gets tired, never mispronounces a word, and somehow gets better watch time than me.” 🕒 Chapters 00:00 Julian’s AI Origin StoryHow the fear of losing his SEO agency pushed him into AI — and why his first ChatGPT video went viral. 06:12 Scaling Content: From Livestreams to 5 Videos a DayJulian explains his full workflow, the role of AI avatars, repurposing, and why human connection still matters. 14:40 AI Tools That Power the SystemA practical look at Descript, HeyGen, Claude, and how his team uses them to automate editing, clipping, and content creation. 22:18 Leadership, Teams & the Human in the LoopHow AI supports decision-making, reflection, communication, and empowers team members instead of replacing them. 30:44 The Future of AI Content & Final ThoughtsQuality control, the fight against “AI slop,” the risks ahead — and whether the Terminator is coming. 🌐 Where to Find the Julian Goldie: Julian Goldie's Agency: goldie.agency AI Profit Boardroom: aiprofitboardroom.com YouTube: @JulianGoldie Twitter/X: @JulianGoldieSEO And Julian's Website: juliangoldie.com 👤 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or digital marketing going, just reach out at argoberlin.com 🚀 🎵 Music credit: “Modern Situations” by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    47 min
  8. Building Real Social Intelligence - with David Petrou // REPOST

    26 APR

    Building Real Social Intelligence - with David Petrou // REPOST

    🎙️ He Taught AI How to Have Manners — Meet David Petrou of Continua AI What if your next group chat had an extra participant — one that listens, understands the social context, remembers what you said last week, and even knows when to stay quiet? In today’s episode, host Dietmar Fischer sits down with David Petrou, founder and CEO of Continua AI, to explore the emerging world of Social AI — intelligent agents designed not just to talk, but to collaborate inside group chats. David, formerly at Google and part of the original Google Glasses team, has spent decades thinking about how humans and machines interact. With Continua, he’s building the world’s first truly human-aware AI that can join your Discord, iMessage, or Google Message conversations and behave like a socially intelligent teammate. This isn’t a chatbot — it’s an AI that understands when to talk, when to listen, and when to help. 📧💌📧 Get my Newsletter Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: 👉 https://beginnersguide.nl📧💌📧 Get ready for a deep dive into social intelligence, etiquette in AI systems, agentic actions, and the future of communication where AI participates naturally alongside humans. 💡 What You’ll Learn in This Episode Why Social AI is the next big evolution beyond traditional chatbots How Continua trains AI to understand timing, tone, context, and social cues Why David believes text messaging with AI will reach a billion users The engineering challenge behind teaching AI “manners” and “machine etiquette” How AI group chat agents improve communication, planning, and collaboration The real use cases: debugging code, planning trips, updating documents, running games, and summarizing information How Continua’s multi-model architecture orchestrates LLMs, fine-tunes, and intent classifiers Why Social AI is surprisingly safe — and why today’s fears don’t match the technical reality The leadership perspective: how to integrate AI thoughtfully without overwhelming teams Where Social AI is heading next: meetings, real-time participation, contextual computing, and agentic actions like shopping This episode is packed with insights for anyone interested in AI agents, human–AI collaboration, team communication, or the future of intelligent digital assistants. 📌 Quotes from the Episode “We had to break the LLM’s brain and teach it social etiquette: when to talk, when to listen, and when to stay quiet.”“Traditional chatbots operate in single-player mode — Continua is built for multiplayer conversation.”“There are problems beyond our ability to solve directly — the real ingenuity is creating something that can learn how to solve them.”“Introducing a foreign intelligence into human group dynamics is one of the most fascinating problems in AI.” “Text messaging with AI will be the next form factor to hit a billion users.” “Language itself is the interface. You don’t need menus. You just tell the AI how you want it to behave.” ⏱️ Chapters 00:00 David Petrou’s Origin Story & Early Fascination with AI04:51 Why Social AI Matters: From APIs to Human-Aware Group Agents09:12 Teaching AI Social Etiquette: When to Talk, Listen, or Stay Quiet16:11 Inside Continuum: Multi-Model Architecture, Fine-Tuning & Real Use Cases24:05 Social AI in the Real World: Planning Trips, Debugging, Collaboration & Automation35:01 The Future of Social AI: Meetings, Agentic Actions, Leadership & Ethical Considerations 🧑‍💼 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 🔗 Where to Find the Guest: David Petrou Website: continua.aiLinkedIn: David PetrouInstagram: David Petrou 🎵 Closing Credits Music credit: “Modern Situations” by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    47 min
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3.2
out of 5
25 Ratings

About

"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.

Information

  • Creator
    Dietmar Fischer
  • Years Active
    2023 - 2026
  • Episodes
    351
  • Rating
    Clean
  • Copyright
    © Dietmar Fischer
  • Show Website
    A Beginner's Guide to AI

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