A Beginner's Guide to AI

Dietmar Fischer
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"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. Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It.

    22小時前

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

    🚀 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 immediately Practical 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 🎬 Chapters 00:00 Welcome and Sunny’s background at Microsoft and Azure SQL deployment 00:53 What pulled him into AI from ChatGPT experiments to real workflows 07:50 AI tools and jobs, building websites faster and empowering non devs 10:56 GitHub Copilot in Visual Studio, how it changes daily coding 19:40 The AI adoption gap, why many still do not use AI and the rise of agents 38:45 Docker Captain, GitHub Models, and building agent workflows without heavy setup 42:22 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 Guest Docker 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.

    54 分鐘

  2. 2日前

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

    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. 📧💌📧 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 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“Prompting is 2025… in 2026, we should let the AI prompt.”“One of the best antidotes to being afraid of anything is education.”“To be honest, leadership skills.” Where to find the GuestWebsite: leadersofai.comLinkedIn: 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.

    47 分鐘
  3. Who Owns The Future?

    4日前

    Who Owns The Future?

    ✨ Unlock a Future Where AI Inspires Leadership—not Replaces It In 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 Highlights Understanding 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 Born 12:45 AI-First Leadership: Reimagining How We Lead 20:30 Human-AI Collaboration: Balancing Ethics and Innovation 28:10 Systems Thinking and SuperShifts Framework 35:00 Applied Strategies: Leading in the Age of Intelligence 🔗 Where to Find Ja-Naé Duane and Steven Fisher Dr. Ja-Naé Duane: Ja-Nae.IOSteven Fisher — StevenFisher.IO And here you'll find: SuperShifts: Transforming How We Live, Learn, and Work in the Age of Intelligence Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    1 小時
  4. Be curious and get rid of the fear: Bala Muthiah on AI Leadership

    6日前

    Be curious and get rid of the fear: Bala Muthiah on AI Leadership

    AI adoption is not only a technology shift, it is a leadership and culture shift. In this episode, Dietmar Fischer talks with Bala Muthiah about AI leadership, the psychology behind AI resistance in the workplace, and the practical steps leaders can take to turn curiosity into day to day usage. Bala shares why the human aspect still decides outcomes, even when the tools feel magical. You will learn how leaders can reduce fear, build confidence, and guide teams through real AI upskilling strategy instead of one off trainings that never translate into workflows. The conversation also touches on industry differences, including why sensitive domains like healthcare raise the bar for responsible AI adoption, and what the rise of agentic workflows means for the future. 📧💌📧 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 AI is a leadership moment 02:12 AI leadership in 2026: pressure, performance, and opportunity 04:41 The real barrier: fear, skepticism, and AI resistance at work 07:45 Industry realities: healthcare, sensitivity, and responsible adoption 17:50 A practical framework: upskilling people and building confidence 34:49 The next wave: agentic workflows and what leaders should prepare for 41:43 Where to find Bala and closing thoughts 💬 Quotes from the Episode - “And to me, it’s still human, meaning us, we are still humans, leaders are still humans. The human aspect still stays.” - “Again, I’m coming back to the people, like, because that’s gonna be the unlock for you. Upskill your people with AI tools.” - “AI being, like, the car, or being the internet, being the electricity.” 🌍 Where to find Bala Muthiah: - On his website: balamuthiah.com - His Speaker profile: sessionize.com/bala-muthiah/ - LinkedIn: linkedin.com/in/balaarjunan/ Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    47 分鐘

  5. 2月2日

    Can You Trust Your AI? Vasant Dhar on Robot Taxis vs. Robot Doctors

    🤖🧠 Thinking with Machines with Vasant Dhar What happens when AI stops being a tool and starts becoming a collaborator and an agent? In this episode, NYU Stern professor and AI pioneer Vasant Dhar takes us through the real story behind modern AI, and the practical frameworks we need for AI trust, AI governance, and the coming era of agentic AI. 🚀 What you will learn - Why “thinking with machines” is a bigger idea than “thinking machines” - How the automation frontier separates low-risk automation from high-stakes human control - Why healthcare has lots of data but still struggles to make good decisions - Why mental health is a dangerous place to outsource empathy to machines - What edge cases in AI mean and why they matter for self-driving cars - How AI agents change the governance conversation, from obligations to restrictions to rights 📌 Key highlights - A practical definition of trust in AI based on error rates and consequences - AI in healthcare data: turning medical trails into usable decision intelligence - The future of work: AI as an amplifier, not a substitute, unless you let it become a crutch - Governance questions that no one gets to avoid once agents can act in the world 📧💌📧 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 💬 “Trust depends on how often a machine makes mistakes and the consequences of those mistakes.” “In physical health, I’m very optimistic. In mental health, not so.” “It’ll likely lead to a bifurcation of humanity… skills get amplified… or people rely on the machine as a crutch.” Chapters ⏱️ 00:00 Vasant Dhar’s origin story in AI and early expert systems 05:08 A Brave New World warning and why optimism still needs guardrails 07:26 AI in healthcare vs mental health and why feelings change the rules 12:37 The trust heat map and the automation frontier in real life 18:21 Edge cases, bounded rationality, and what machines pay attention to 26:03 The future of work and why AI amplifies both skill and decline 36:23 Governance, AI agents, and how much agency we should allow 44:05 AI wow moments and the next frontier: integrated machine senses 47:15 Where to find the book, podcast, and newsletter Where to find Vasant Dhar 🔎 - Visit Vasant's Website, also to find all the links to shops with "Thinking with Machines", his book: vasantdhar.com - Listen to his Podcast: bravenewpodcast.com - and get his Newsletter: vasantdhar.substack.com Music credit: "Modern Situations" by Unicorn Heads` Hosted on Acast. See acast.com/privacy for more information.

    54 分鐘

  6. 1月30日

    Stop Prompting - Start Context Engineering

    Most people think better AI results come from better prompts. This episode proves why that’s wrong. Professor GePhardT introduces Context Engineering, the missing skill that transforms AI from a confused parrot into a capable collaborator. Through relatable metaphors, real business examples, and a deliciously British cake analogy, you’ll learn how shaping an AI’s environment matters more than clever wording. You’ll discover: Why prompt engineering alone failsHow context helps AI understand intentThe difference between guessing and knowingA real telecom case where context fixed customer supportHow to apply context engineering in everyday AI use 📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to ⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 Quotes from the Episode “Prompt engineering is asking nicely. Context engineering is setting the stage.”“Without context, AI is guessing. With context, it understands intent.”“Context turns AI from a parrot into a collaborator.” Chapters 00:00 Why Prompts Alone Are Not Enough 04:12 What Context Engineering Really Means 10:25 Understanding Intent Through Context 18:40 Context Engineering vs Prompt Engineering 25:10 Telco Case Study 35:20 The Cake Example 44:00 Final Takeaways 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 Music credit: “Modern Situations” by Unicorn Heads 🎵 Hosted on Acast. See acast.com/privacy for more information.

    22 分鐘
  7. AI Doesn't Break It, Bad Leadership Does

    1月28日

    AI Doesn't Break It, Bad Leadership Does

    🤖🧠 AI is making strategy cheap. Adoption is still expensive. In this episode, Dietmar Fischer sits down with Bud Caddell (NOBL) to unpack what leaders miss when they roll out generative AI and expect instant results. Bud shares how his team thinks about AI change management, why “turning on Copilot” is not an adoption plan, and what happens to consulting when LLMs can produce “firm-grade” recommendations in seconds. You will also hear the story behind ConsultingSlop.com, a strategy generator that models the reasoning styles of major consulting firms and outputs polished advice instantly. What started as a parody quickly became a serious signal about commoditization, incentives, and the real differentiator: execution, trust, and organizational design. Key takeaways you can apply immediately: ✅ How to approach Microsoft Copilot adoption strategy like a redesign effort, not a software toggle ✅ Why AI literacy and training reduce fear, resistance, and “adoption theater” ✅ What the agents wave means in practice, including platforms like Agentforce ✅ How “vibe coding” changes prototyping speed and risk for teams 📧💌📧 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 is this incredible wave that I think is gonna fundamentally change individual organizations, but the entire economy, society at large.”“We turned on Copilot, so why aren’t we more productive? … it’s a design process.”“My big prediction is that over the next 18 months, we’re gonna see a lot of backpedaling… and sunk cost fallacy.”Chapters00:00 Bud’s path from software to organizational change and why AI feels different 04:20 ConsultingSlop.com, vibe coding, and when AI strategy gets uncomfortably believable 06:30 Copilot mandates vs real adoption, why productivity math fails without redesign 16:40 AI as a catalyst for deeper issues: brand story, conflict, and culture 19:25 The next 18 months: investment traps, backpedaling, and what leaders should do 38:00 Agents, Agentforce, and Bud’s personal AI toolkit plus wow moments and wrap Where to find the GuestBud Caddell: https://budcaddell.com/NOBL: https://nobl.io/Consulting Slop: https://consultingslop.com/LinkedIn: linkedin.com/in/budcaddell/ Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    51 分鐘

  8. 1月26日

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

    🚀 In this episode, Dietmar Fischer talks with Janet Barker-Evans about what happens when AI stops being a novelty and becomes part of a serious creative workflow. Janet breaks down how she uses custom GPTs for marketing as brainstorming partners and how synthetic personas can help teams validate campaigns faster, sometimes in a single day instead of waiting weeks for traditional research cycles. Our topics today include hands-on AI training, multi-model workflows (ChatGPT, Gemini, Claude, Copilot), and why AI fear often comes down to power and control. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 About the Host: 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 🎯 What you will learn: How synthetic personas in market research and synthetic customers can accelerate concept testingHow custom GPTs for marketing can unlock better creative optionsHow to choose between tools like ChatGPT, Gemini, Claude, and Copilot for real business work 🕒 Chapters 00:00 Welcome and Janet’s AI origin story 01:47 Custom GPTs as brainstorming partners for marketers 05:05 Hands-on AI workshops: building confidence across ChatGPT, Gemini, Claude, Copilot 15:23 Synthetic personas and rapid creative validation with “persona panels” 20:00 Multi-model workflows: choosing the right tool and making outputs usable 35:03 The wow moments and the fear factor: prototyping visuals, power, control, and what’s next 💬 Quotes from the Episode “It’s like having a partner who’s not afraid to pitch a crazy idea.”“When we come up with a creative campaign, we will go test it against our synthetic persona panel.”“They’re all synthetic!”“Some of them will poke holes in our thinking, which helps us make it stronger.”“We can gut check it inside of a day.”“So, it’s about power, it’s about control…” 🔎 Where to find the Guest Janet's website: janetbarkerevans.comAbelsonTayler's website: AbelsonTaylor GroupOr connect on LinkedIn with Janet: Janet Barker-Evans Thanks for listening. If you enjoyed the episode, please follow the show and share it with someone who is trying to ship better work faster. Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    50 分鐘
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關於

"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.

資料

  • 創作者
    Dietmar Fischer
  • 活躍年份
    2023年 - 2026年
  • 單集
    324
  • 分級
    兒童適宜
  • 版權
    © Dietmar Fischer
  • 節目網站
    A Beginner's Guide to AI

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