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A Beginner's Guide to AI

Dietmar Fischer
A Beginner's Guide to AI
Latest episode

328 episodes

  • A Beginner's Guide to AI

    AI Training Data: Why Quantity Isn’t Enough

    02/23/2026 | 27 mins.
    AI systems are often praised for their size. Bigger datasets. Bigger models. Bigger compute. But what if scale is only half the story?

    In this episode of A Beginner’s Guide to AI, Prof. GePhardT dives deep into AI training data and explains why quantity alone cannot guarantee performance. From AI bias to model reliability, we explore how data quality determines whether AI systems are merely impressive or truly trustworthy.

    You will learn how imbalanced datasets create blind spots, why aggregate accuracy can be misleading, and what the Gender Shades research revealed about AI fairness. We also explore how businesses can audit their own CRM data and prevent AI from amplifying internal chaos.

    This episode connects technical insight with strategic clarity. It is essential for founders, marketers, and leaders building responsible AI systems.

    📧💌📧
    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 does not think. It reflects.”
    “Quantity builds capability. Quality builds trust.”
    “Every dataset is a silent curriculum.”

    Chapters
    00:00 The Data Diet Problem
    07:42 Defining Quantity vs Quality in AI
    17:15 Capability vs Reliability Explained
    27:10 The Gender Shades Case Study
    36:45 Business Implications and Data Strategy
    46:20 Practical Audit for Your Own AI Systems

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

    Why AI Needs Its Railroad Barons - Matt Hicks of Redhat // Repost

    02/21/2026 | 52 mins.
    What if artificial intelligence is less like a new app—and more like the railroads of the 19th century?

    In this episode of Beginner’s Guide to AI, I sit down with Matt Hicks, CEO of Red Hat, to explore one of the most powerful metaphors for understanding AI’s role in business today. Just as railroads didn’t merely improve transportation but fundamentally reshaped economies, AI is not just another productivity tool. It is infrastructure. And infrastructure needs builders.

    Matt argues that AI will require its own “railroad barons”—leaders, technologists, and organizations willing to invest, experiment, and lay the tracks that others will run on. We discuss what that means for enterprise AI adoption, open source innovation, and long-term business strategy.

    This conversation goes far beyond hype. It’s about patterns, fear, leadership, and the tension between process and innovation.

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

    🔑 What You’ll Learn in This Episode:
    Why AI business strategy is today’s equivalent of building railroads
    How Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) will reshape brand visibility
    The balance between experimentation and responsibility in AI adoption
    Why processes vs. innovation remains a critical tension
    How leaders can prepare for AI-driven business transformation

    💬 Quotes from the Episode:
    “AI is like the railroads — it will need its barons to build the infrastructure that carries everyone forward.”
    “The fear isn’t that AI replaces us; it’s that we don’t adapt fast enough to what it enables.”

    ⏱ Chapters
    00:00 Introduction and Red Hat’s Role in AI
    03:01 Why Awareness of AI Technology Matters
    06:00 Creating Progression: From Awareness to Action
    09:01 Personal Experiences with AI Change
    12:00 Recognizing Business Patterns in AI Transformation
    15:01 Patterns, Fears, and Early Adoption Signals
    18:01 Fear vs Opportunity: Why People Hesitate on AI
    21:00 Balancing Experimentation with Responsibility
    27:00 The Maturity Curve of AI Adoption
    30:00 When Processes Prevail Over Innovation
    42:00 AI and the Software Industry’s Perspective
    45:00 Looking Ahead: Strategy and the Future of AI

    🌐 Where to find Matt Hicks
    LinkedIn: Matt Hicks
    Red Hat: redhat.com

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

    Move Fast And Don't Break Things: Secure AI Adoption with Samantha Mehta

    02/19/2026 | 54 mins.
    🎙️ In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Samantha Mehta, solutions engineering leader at AIRIA, about how companies can adopt AI without losing control. If your teams are already experimenting with ChatGPT and AI tools, the real question is not “Should we use AI?” but “How do we use it safely, visibly, and profitably?”

    Samantha explains what enterprise AI security looks like in real life, including AI guardrails that can audit, block, redact, and replace sensitive data. She also unpacks AI governance and AI observability, because you cannot manage what you cannot see. A key theme is shadow AI and AI sprawl: people will use AI anyway, so organizations need sanctioned paths that reduce risk while accelerating adoption.

    On the practical side, this conversation goes deep on agentic workflows. Samantha describes how agents become more than prompts through routing, actions, approvals, looping over documents like CSVs, and scheduled runs that create repeatable outcomes. From internal GPT alternatives to workflows that touch expenses, supply chain planning, and customer support, the episode is packed with grounded examples and a clear starting path.

    📧💌📧
    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 why Samantha got into AI
    01:26 What ARIA does: build, test, secure, deliver enterprise AI
    02:19 Real use cases from simple internal GPT to complex workflows
    08:27 How to start: guardrails first, then build your first agent
    11:32 Agentic workflows explained: routing, actions, human in the loop
    17:12 Why security and governance matter and why blocking fails
    31:14 AI sprawl and shadow AI: monitoring and risk management
    40:00 Wow use cases and the future: Blade Runner, change, and jobs
    48:42 Where to find Samantha and ARIA

    Quotes from the Episode
    🪧 “I personally can’t think of a case where an LLM needs to know my social security number.”

    🪧 “People are going to use it no matter what. If you don’t enable safe usage, they’ll still use it.”

    🪧 “Agentic workflows are so much more than just ping an LLM and get a response.”

    🪧 “I always say: build, test, secure, and deliver your usage of AI.”

    Where to find Samantha:
    ➡️ LinkedIn: Samantha Mehta on LinkedIn
    ➡️ Company: look at what AIRIA does

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

    AI Agents and Real Estate Agents - How Andrew Reville Is Using AI to Transform Real Estate // REPOST

    02/17/2026 | 57 mins.
    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: ⁠beginnersguide.nl⁠
    📧💌📧

    From the challenges agents face with lead generation to the opportunities of AI-powered tools, Andrew shares his journey from realtor to tech founder and reveals why the future of real estate belongs to those who embrace AI, not fear it.

    🔑 Key Highlights
    Andrew Reville’s journey from agent to AI entrepreneur

    The real pain points of real estate agents — and how AI can fix them

    AI tools for real estate agents 2025 and why they matter

    How generative AI will transform real estate valuation and marketing

    The future of property listings, client relationships, and agent workflows

    💬 Quotes from the Episode
    “We didn’t want to just build another AI tool — we wanted to solve real pain points for real estate agents.”

    “The dream of being an agent often fades when the reality of chasing leads and endless follow-ups hits.”

    “AI in real estate isn’t about replacing agents — it’s about giving them back the time and energy to love their job again.”

    “I’ve spoken with dozens of agents, and the question I always ask is: what would make you fall back in love with being an agent?”

    “Generative AI has the potential to completely change how we value, market, and sell properties.”

    “The future of real estate belongs to agents who embrace AI, not fear it.”

    ⏱️ Chapters (experimental feature)
    00:00 Welcome & Introduction of Andrew Reville
    05:30 Andrew’s Journey: From Real Estate Agent to AI Entrepreneur
    12:15 Discovering the Potential of AI in Real Estate
    19:40 Building PeakAgent: Solving Pain Points for Agents
    27:50 The Harsh Realities of Being a Real Estate Agent
    36:20 How AI Can Help Agents Fall Back in Love with Their Work
    44:45 Generative AI and the Future of Property Valuation
    52:10 AI Marketing Strategies for Real Estate in 2025
    59:00 Final Thoughts and Andrew’s Advice for Agents

    🌐 Where to find Andrew Reville
    🔗 Website: PeakAgentAI.com
    🔗 LinkedIn: Andrew Reville
    📸 IG: @peakagentai
    🧑‍🦰 Personal IG: @andrew_reville
    🚀 Paper&Purpose - help Andrew doing good deeds: www.paperandpurpose.me

    ✨ Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!
    🎶 Music credit: "Modern Situations" by Unicorn Heads
    Hosted on Acast. See acast.com/privacy for more information.
  • A Beginner's Guide to AI

    Data to Decisions: Boobesh Ramaurai Explains the Real Impact of AI // REPOST

    02/13/2026 | 37 mins.
    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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: beginnersguide.nl
    📧📧📧

    We dive into the real-world impact of AI, the challenges organizations face when adopting data strategies, and what it means to build human-centered AI with responsibility and ethics in mind.

    If you want expert insights into AI in business, responsible AI implementation, and the future of data and AI, this conversation is a must-listen.

    ➡️ Key Highlights
    Boobesh Ramaurai’s journey from analytics to AI leadership
    How businesses can harness data-driven decision making with AI
    Why execution beats ideas in the world of innovation
    The growing importance of human-centered AI and responsibility
    What’s next for the future of data and AI

    🧾 Quotes from the Episode
    “I always say that it is not the idea that really is valuable. It is the execution—that’s the magic and the secret sauce.” — Boobesh Ramaurai

    “It was fascinating to see how people were using data and capturing data to answer business questions—that curiosity is what pulled me into AI.” — Boobesh Ramaurai

    🔗 Where to find Boobesh Ramadurai
    LinkedIn: linkedin.com/in/boobesh/
    LatentView's Website: latentview.com

    Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter: 💌 beginnersguide.nl

    Music credit: "Modern Situations" by Unicorn Heads
    Hosted on Acast. See acast.com/privacy for more information.

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About 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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