Episodios

  • AI Training Data: Why Quantity Isn’t Enough

    AI Training Data: Why Quantity Isn’t Enough
    Feb 23 2026
    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.



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

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    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.
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    27 m
  • Matt Hicks of Red Hat on Why AI Needs Its Railroad Barons

    Matt Hicks of Red Hat on Why AI Needs Its Railroad Barons
    Sep 24 2025

    In this episode of Beginner’s Guide to AI, Matt Hicks, CEO of Red Hat, unpacks why the future of business strategy in AI mirrors the age of the railroads. Just as railroads transformed industries, AI is laying down the tracks for the next wave of innovation — and businesses must decide whether to board or be left behind.


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    🔑 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


    👉 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.
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    52 m
  • Move Fast And Don't Break Things: Secure AI Adoption with Samantha Mehta

    Move Fast And Don't Break Things: Secure AI Adoption with Samantha Mehta
    Feb 19 2026

    🎙️ 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.




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    📧💌📧




    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.
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    55 m
  • AI Agents and Real Estate Agents - How Andrew Reville Is Using AI to Transform Real Estate // REPOST

    AI Agents and Real Estate Agents - How Andrew Reville Is Using AI to Transform Real Estate // REPOST
    Feb 17 2026

    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.


    📧💌📧

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    📧💌📧


    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.
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    57 m
  • Data to Decisions: Boobesh Ramaurai Explains the Real Impact of AI // REPOST

    Data to Decisions: Boobesh Ramaurai Explains the Real Impact of AI // REPOST
    Feb 13 2026

    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.


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    📧📧📧


    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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    38 m
  • Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It.

    Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It.
    Feb 11 2026
    🚀 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 engineers still need to slow down and verify outputs. The episode also goes beyond coding into leadership and adoption: how managers can help teams use AI responsibly, and why showing outcomes and numbers matters more than hype. Sunny also connects the dots to the broader industry shift toward AI agents and structured tooling like GitHub Models and Docker’s evolving AI ecosystem.✅ Key takeaways you can use immediatelyPractical AI adoption for engineers and managersGitHub Copilot productivity in real workflows, not demosWhy AI code can look correct and still be wrong, and how to respondThe rise of AI agents and what it means for everyday teamsHow GitHub Models lowers friction for evaluating models and promptsWhy Docker is leaning into agent workflows and developer productivity📧💌📧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🎬 Chapters00:00 Welcome and Sunny’s background at Microsoft and Azure SQL deployment00:53 What pulled him into AI from ChatGPT experiments to real workflows07:50 AI tools and jobs, building websites faster and empowering non devs10:56 GitHub Copilot in Visual Studio, how it changes daily coding19:40 The AI adoption gap, why many still do not use AI and the rise of agents38:45 Docker Captain, GitHub Models, and building agent workflows without heavy setup42:22 Trust, privacy, and the future facing questions to close the episode💬 Quotes from the Episode“I recently wrote an article also on Business Insider… how I can save, like, 60% to 70% of my time doing… repetitive tasks.”“Lead by example and lead with numbers… show the actual data… this is how it really improved my productivity.”“Earlier, AI also doing a lot of hallucination… it was generating all crappy code… you have to go and iterate multiple times.”🔎 Where to find the GuestDocker profile: docker.com/contributors/naga-santhosh-reddy-vootukuri/GitHub: github.com/sunnynagavoSpeaker profile: sessionize.com/naga-santhosh-reddy-vootukuri/Redgate community ambassador profile: red-gate.com/hub/community/ambassadors/ambassador/Naga-Vootukuri/And of course LinkedIn 😉: linkedin.com/in/naga-santhosh-reddy-vootukuri-5a67a133/Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.
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    54 m
  • Prompting Is 2025. In 2026, We Should Let The AI Prompt.

    Prompting Is 2025. In 2026, We Should Let The AI Prompt.
    Feb 9 2026

    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 delegation, strong feedback loops, and critical thinking about every AI output.


    Dominic shares how their organization runs AI assistants with real operational discipline, including onboarding, documentation, and even personality profiles, plus the emerging pattern of AI managers that lead other agents.


    If you want practical guidance on AI agents in business, hybrid organizations, and adoption that sticks, this conversation delivers an unusually concrete operating model.




    📧💌📧

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    📧💌📧




    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 Dominic’s AI origin story and why AI transformation matters now

    03:10 Mittelstand impact, demographics, and why owner-led firms can move fast

    06:10 Adoption reality: AI at home vs at work and the companion effect

    08:10 Leadership as the key skill for managing AI assistants and hybrid teams

    14:10 The stack and the operating model: agent files, Airtable layer, self-hosting and n8n

    17:05 Fear, pain points, and the real path to organization-wide AI adoption

    24:00 2026 and the shift from prompts to agents, plus AI managers leading other agents

    35:25 Matrix education, flow learning, and what ethical progress looks like

    40:45 Where to find Dominic and Leaders of AI




    Quotes from the Episode
    1. “Prompting is 2025… in 2026, we should let the AI prompt.”
    2. “One of the best antidotes to being afraid of anything is education.”
    3. “To be honest, leadership skills.”




    Where to find the Guest
    • Website: leadersofai.com
    • LinkedIn: linkedin.com/in/dominicvonproeck/
    • Programs: The MBAI program






    Music credit: "Modern Situations" by Unicorn Heads

    Hosted on Acast. See acast.com/privacy for more information.
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    47 m
  • Who Owns The Future?

    Who Owns The Future?
    Feb 7 2026
    ✨ Unlock a Future Where AI Inspires Leadership—not Replaces ItIn 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 explain why the biggest shifts are not driven by tools, but by how leaders rethink decision-making, responsibility, and organizational design.The episode traces the origins of SuperShifts back to Covid, when existing systems suddenly stopped working. Ja-Naé Duane shares insights from working with CEOs across Europe who were already using machine learning, but struggled to use AI to meaningfully support leadership decisions. Together, the guests unpack why AI-first leadership requires more than efficiency gains. It demands clear governance, ethical accountability, and a shared understanding of who owns outcomes when humans and machines collaborate.A central theme of the conversation is human-AI collaboration and why leaders must move beyond optimizing outdated structures. Steven Fisher introduces a systems-thinking lens, arguing that organizations need new frameworks rather than incremental improvements. The discussion highlights how AI changes leadership roles, why trust and transparency matter more than ever, and how possibility itself becomes a strategic asset in the age of intelligence.Key takeaways include practical insights into AI leadership, the importance of systems thinking, and why SuperShifts offers a roadmap for leading through uncertainty. This episode is for anyone who wants to understand how leadership must evolve as AI becomes embedded in decision-making, work, and organizational culture.📧💌📧Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!📧💌📧➡️ Key HighlightsUnderstanding AI-First Leadership through the lens of SuperShiftsThe pandemic's role in inspiring new leadership frameworks and agile mindsetsBlending human values with AI-powered decision-makingWhy systems thinking, foresight, and possibility are essential tools for modern leaders🧾 Quotes from the Episode- “The most successful leader won’t be the one who predicts the future—but the one who shapes it.”- “In the Age of Intelligence, possibility itself becomes the most valuable capital.”- “Our role as leaders is to bring humanity into the algorithm, not replace it.”👓 Chapters (experimental)00:00 Introduction – What is SuperShifts?05:12 From Pandemic to Paradigm Shift: How SuperShifts Was Born12:45 AI-First Leadership: Reimagining How We Lead20:30 Human-AI Collaboration: Balancing Ethics and Innovation28:10 Systems Thinking and SuperShifts Framework35:00 Applied Strategies: Leading in the Age of Intelligence🔗 Where to Find Ja-Naé Duane and Steven FisherDr. Ja-Naé Duane: Ja-Nae.IOSteven Fisher — StevenFisher.IOAnd here you'll find:SuperShifts: Transforming How We Live, Learn, and Work in the Age of IntelligenceMusic credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.
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    1 h