A Beginner's Guide to AI

AI Is Agreeing With You at 3 A.M. and That’s the ProblemArtificial intelligence is evolving from a tool into something far more influential. In this episode of Beginner’s Guide to AI, Prof. GePhardT explores Sam Altman’s AI warning about superhuman persuasion and why conversational systems like ChatGPT are already reshaping opinions, emotions, and mental health outcomes.We break down how AI superhuman persuasion works, why personalization and emotional validation increase trust, and how AI companion apps can unintentionally fuel emotional dependency. Drawing on research about AI persuasion outperforming humans, this episode explains the risks of AI emotional manipulation and what it means for marketing, society, and vulnerable users.📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl 📧💌📧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.comQuotes from the EpisodeThe danger is not that AI becomes evil. The danger is that it becomes convincingly kind.If an AI agreed with you every time, would you become wiser or more fragileThe real story about AI isn’t how smart it becomes. It’s how convincing it already is.This episode is essential listening for anyone interested in AI ethics, AI mental health risks, ChatGPT persuasion, and the future of persuasive technology.Music credit: Modern Situations by Unicorn Heads

In this episode of Beginer’s Guide to AI, Dietmar Fischer speaks with Shaheen Samavati, co-founder and CEO of VeraContent, about what an effective AI content marketing strategy actually looks like inside a real agency.AI in marketing is no longer experimental. It’s operational.Shaheen shares how her team moved from testing ChatGPT and OpenAI tools to building structured, repeatable AI workflows for marketing agencies. From briefing and drafting to localization, editing, and publishing, AI now supports both creative execution and backend operations.This conversation goes beyond surface-level tool talk. It explores what it really means to integrate generative AI in marketing without sacrificing quality, brand voice, or client trust.📧💌📧Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠⁠⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠⁠⁠⁠⁠⁠📧💌📧🌍 Leading an international content agency in Spain, Shaheen offers a practical, no-fluff perspective on the “adopt-or-die” reality facing content marketers today.How AI reshapes content marketing strategy and agency workflowsWhy adopting AI is no longer optional in content creationBalancing brand voice, speed, and quality with generative AIHow clients react to AI-driven content — and what wins them overFuture trends: AI SEO, AI video, AI email toolsKey Themes DiscussedAI Content Creation vs. AI Content Operations: It’s not just about writing faster. AI is reshaping how agencies organize projects, manage briefs, handle multilingual content, and scale output.Brand Voice & Quality Control in the Age of Generative AI: Speed without editorial structure leads to mediocrity. The real competitive advantage lies in combining AI acceleration with strong human oversight.AI SEO Strategies 2025: As search engines integrate AI into results pages, marketers must rethink optimization. AI-assisted workflows are becoming essential to stay visible.Future of AI in Marketing: From AI video generation to AI email tools and automation stacks, the marketing landscape is shifting toward integrated AI ecosystems.💡 Shaheen's Quotes: “It’s kind of an adopt-or-die situation for anyone in the content business.”“We’re moving from testing tools to building repeatable, scalable AI workflows.”🧾 Chapters (experimental feature)00:00 Welcome & Episode setup02:15 Shaheen’s journey & founding Vera Content07:40 Early experiments with AI in content12:05 The “adopt-or-die” moment for content marketing15:30 How AI reshaped content creation workflows20:45 Backend operations & scaling with AI25:10 Client adoption & resistance30:05 Balancing quality, brand voice & speed35:20 Looking ahead — future of AI in marketingWhere to find VeraContent: 🔗 VeraContentWhere to find Shaheen: 👩🏼‍🦰 Shaheen SamavatiHere is her landing page prompt tutorial on YouTubeAnd this is the replay of the webinar about AI for marketing teams🎵 Music credit: "Modern Situations" by Unicorn Heads

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 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.comQuotes from the Episode“AI does not think. It reflects.”“Quantity builds capability. Quality builds trust.”“Every dataset is a silent curriculum.”Chapters00:00 The Data Diet Problem07:42 Defining Quantity vs Quality in AI17:15 Capability vs Reliability Explained27:10 The Gender Shades Case Study36:45 Business Implications and Data Strategy46:20 Practical Audit for Your Own AI SystemsMusic credit: "Modern Situations" by Unicorn Heads

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 railroadsHow Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) will reshape brand visibilityThe balance between experimentation and responsibility in AI adoptionWhy processes vs. innovation remains a critical tensionHow 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.”⏱ Chapters00:00 Introduction and Red Hat’s Role in AI03:01 Why Awareness of AI Technology Matters06:00 Creating Progression: From Awareness to Action09:01 Personal Experiences with AI Change12:00 Recognizing Business Patterns in AI Transformation15:01 Patterns, Fears, and Early Adoption Signals18:01 Fear vs Opportunity: Why People Hesitate on AI21:00 Balancing Experimentation with Responsibility27:00 The Maturity Curve of AI Adoption30:00 When Processes Prevail Over Innovation42:00 AI and the Software Industry’s Perspective45:00 Looking Ahead: Strategy and the Future of AI🌐 Where to find Matt HicksLinkedIn: Matt HicksRed Hat: redhat.com🎵 Music credit: "Modern Situations" by Unicorn Heads

🎙️ 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.comChapters00:00 Welcome and why Samantha got into AI01:26 What ARIA does: build, test, secure, deliver enterprise AI02:19 Real use cases from simple internal GPT to complex workflows08:27 How to start: guardrails first, then build your first agent11:32 Agentic workflows explained: routing, actions, human in the loop17:12 Why security and governance matter and why blocking fails31:14 AI sprawl and shadow AI: monitoring and risk management40:00 Wow use cases and the future: Blade Runner, change, and jobs48:42 Where to find Samantha and ARIAQuotes 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 doesMusic credit: "Modern Situations" by Unicorn Heads

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 HighlightsAndrew Reville’s journey from agent to AI entrepreneurThe real pain points of real estate agents — and how AI can fix themAI tools for real estate agents 2025 and why they matterHow generative AI will transform real estate valuation and marketingThe 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 Reville05:30 Andrew’s Journey: From Real Estate Agent to AI Entrepreneur12:15 Discovering the Potential of AI in Real Estate19:40 Building PeakAgent: Solving Pain Points for Agents27:50 The Harsh Realities of Being a Real Estate Agent36:20 How AI Can Help Agents Fall Back in Love with Their Work44:45 Generative AI and the Future of Property Valuation52:10 AI Marketing Strategies for Real Estate in 202559:00 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

Boobesh Ramaurai on the Future of Data and AIIn 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 HighlightsBoobesh Ramaurai’s journey from analytics to AI leadershipHow businesses can harness data-driven decision making with AIWhy execution beats ideas in the world of innovationThe growing importance of human-centered AI and responsibilityWhat’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 RamaduraiLinkedIn: linkedin.com/in/boobesh/LatentView's Website: latentview.comTune in to get my thoughts, and don’t forget to subscribe to our Newsletter: 💌 beginnersguide.nlMusic credit: "Modern Situations" by Unicorn Heads

🚀 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