A Beginner's Guide to AI - podcast cover

A Beginner's Guide to AI

Dietmar Fischerbeginnersguideto.ai
"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 🚀

Hosted on Acast. See acast.com/privacy for more information.

Last refreshed:
Download Metacast podcast app
Podcasts are better in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episodes

It's Not Terminator, It's Algorithms That Define War in The Future

Artificial intelligence is no longer just changing business. It is changing warfare. In this episode of A Beginner's Guide to AI, we explore how militaries around the world are deploying AI for intelligence gathering, cybersecurity, surveillance, autonomous drones, and military decision-making. We examine the technologies already shaping modern defense and the ethical questions that follow. From Project Maven's AI-powered analysis of drone footage to Anthropic's public dispute with the Pentagon ...

Jun 17, 202633 minSeason 14Ep. 40

AI Can Make Bad Teams Worse - Gustavo Razzetti Tells You Why

AI is entering meetings, strategy sessions, writing workflows, leadership decisions, and difficult conversations. But what if AI does not automatically make teams smarter? What if it simply amplifies what is already there? In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Gustavo Razzetti, culture strategist and author of Forward Talk, about why teams get stuck , why leaders avoid the conversations that matter, and why agreeable AI can weaken critical thinking inside organiza...

Jun 15, 202645 minSeason 14Ep. 39

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

Samantha Mehta, a solutions engineering leader at AIRIA, explores secure AI adoption for businesses. She explains the necessity of AI guardrails to audit and protect sensitive data, alongside robust AI governance and observability to combat shadow AI and sprawl. The discussion covers practical agentic workflows, moving beyond simple prompts to create repeatable outcomes, and emphasizes building, testing, securing, and delivering AI usage responsibly.

Jun 12, 202655 minSeason 14Ep. 38

AI Needs Electricians More Than Coders - Sergii Gerasymovych Tells You Why

This episode explores the hidden physical infrastructure behind the AI revolution, with Sergii Gerasymovych explaining his journey from linguistics to building data centers. He highlights the immense power requirements and complex logistics of AI data centers, detailing bottlenecks like community pushback, capital, and the urgent need for electricians. The discussion also covers different types of AI data centers, the strategic importance of AI compute for nations, and AI's practical applications for business leadership, while addressing common fears about its future impact.

Jun 10, 202651 minSeason 14Ep. 37

Why Asimov’s Three Laws Still Matter for AI Ethics

🤖📚 The Robot Followed the Rules. That Was the Problem. What if the real danger of AI is not that it disobeys us, but that it obeys us too well? In this episode of A Beginner’s Guide to AI , we travel back to Isaac Asimov’s famous robot stories and the Three Laws of Robotics to understand one of the oldest and still most relevant questions in artificial intelligence: how do we keep intelligent machines safe, useful, and accountable when they start acting in the real world? Asimov’s Three Laws s...

Jun 07, 202647 minSeason 14Ep. 36

Customer Panel? Too Slow. Here’s the Synthetic Version - with Janet Barker-Evans // REPOST

Janet Barker-Evans, Chief Creative Officer, shares how AI has become essential in her creative workflow, from custom GPTs as brainstorming partners to synthetic personas that accelerate market research from weeks to a single day. The discussion covers practical hands-on AI training, utilizing multi-model workflows, and demystifying AI fears by focusing on power, control, and human-made risks like flawed instructions.

Jun 06, 202650 minSeason 14Ep. 35
For the best experience, listen in Metacast app for iOS or Android