Decode AI

About Decode AI

Welcome to "Decode AI" Podcast! 🎉 Are you ready to unravel the mysteries of artificial intelligence? Join us on an exciting journey through the fascinating world of AI, where we'll decode the basics and beyond. 🧠 From understanding the fundamentals of AI to exploring cutting-edge tools like Copilot and other AI marvels, our podcast is your ultimate guide. 💡 Get ready to dive deep into the realm of artificial intelligence and unlock its secrets with "Decode AI." Subscribe now and embark on an enlightening adventure into the future of technology! 🚀 Willkommen beim "Decode AI" Podcast! 🎉 Bist du bereit, die Geheimnisse der künstlichen Intelligenz zu enträtseln? Begleite uns auf einer spannenden Reise durch die faszinierende Welt der KI, wo wir die Grundlagen und mehr entschlüsseln werden. 🧠 Vom Verständnis der Grundlagen der KI bis hin zur Erkundung modernster Tools wie Copilot und anderen KI-Wundern ist unser Podcast dein ultimativer Leitfaden. 💡 Mach dich bereit, tief in das Reich der künstlichen Intelligenz einzutauchen und ihre Geheimnisse mit "Decode AI" zu enthüllen. Abonniere jetzt und begebe dich auf ein aufklärendes Abenteuer in die Zukunft der Technologie! 🚀

Publisher

Michael & Ralf

Category

technology

Language

en

Explicit

No

First episode

9 Apr 2024

Latest episode

31 Aug 2026

Latest episodes

17 episodes in the feed.

1. 

   31 Aug 2026

   Vibe Coding im Realitätscheck: Was kosten AI Agents wirklich?

   Send us Fan Mail Hallo liebe Community, Vibe Coding klingt nach Softwareentwicklung auf Zuruf: Idee formulieren, AI Agents losschicken und wenig später ist die fertige Anwendung da. In der Praxis kann das Ergebnis allerdings auch ein technisch funktionierendes Produkt sein, das nur leider niemand bestellt hat. In dieser Episode von DecodeAI berichten Michael und Ralf vom Praxiseinsatz agentischer Softwareentwicklung mit Paperclip AI, lokalen KI-Modellen und Claude Sonnet. Michaels virtuelles ...

2. 

   17 Aug 2026

   Vibe Coding trifft BMAD - Wie aus AI-Code belastbare Software wird

   Send us Fan Mail Hallo liebe Community, Decode AI ist zurück - mit neuem Konzept, höherer Frequenz und einem Thema, das weit über den nächsten AI-Hype hinausgeht: Vibe Coding, Agents und die Frage, wie aus einer schnellen Idee verlässliche Software wird. Michael berichtet von seinem Multi-Agenten-Team mit Paperclip AI, während Ralf erklärt, weshalb Erfahrung, Domänenwissen und eine Methode wie BMAD trotz aller AI-Unterstützung unverzichtbar bleiben. Für die Community ist das besonders relevan...

3. 

   11 Jul 2025

   AI Ethics, Video Disruption & Hacking Bots – Google I/O 2025, Claude 4 & More

   Send us a text In this episode of Decode AI, hosts Michael Plettner and Ralf Richter explore the latest advancements in artificial intelligence, including Claude 4's safety features, Google's VU3 for video production, the introduction of local AI models with AI Edge, and the reasoning capabilities of Gemini 2.5. They also discuss Project Astra's real-time assistance, the implications of AI in cybersecurity, and the legal challenges posed by AI-generated content. The conversation highlights th...

4. 

   20 Jun 2025

   Exploring the Future of Autonomous AI Agents and when they go too far

   Hosts Ralf and Michael explore autonomous AI agents like OpenAI's Codex, discussing their capabilities, decision-making processes, and implications for software development in this episode.

5. 

   6 Jun 2025

   Agents, Prompts, and Hidden Dangers: A Deep Dive into AI Vulnerabilities

   Hosts Michael Plettner and Ralf Richter examine AI vulnerabilities, including line jumping and risks associated with Microsoft Certified Professional servers, emphasizing source verification in the evolving AI landscape.

6. 

   25 Apr 2025

   AI Innovations Unveiled - From MCP, LLama Index, Copilot and Agents

   Send us a text Summary In this episode of Decode AI, Michael Plettner and Ralf Richter discuss the latest advancements in AI technologies, including the Model Context Protocol (MCP), enhancements to M365 Copilot, and the new features of GitHub Copilot. They explore the implications of autonomous software agents, the capabilities of Llama Index, and the automation platform N8n. The conversation highlights the importance of these tools in streamlining workflows and enhancing productivity in s...

7. 

   27 Feb 2025

   The Rise of DeepSeek R1: A Game Changer in AI? Boomer prompts and more

   Send us a text keywords #DeepSeek, #AIModels, #OpenAI, #security, #bias, #jailbreaking, #prompts, #communityEngagement, #dataPrivacy, #technology summary In this episode, Michael and Ralf discuss the significant impact of DeepSeek R1 on the tech market, its features, and comparisons with other AI models like OpenAI. They delve into the technical aspects, including its open-source nature and security concerns, particularly regarding jailbreaking and bias. The conversation also touches on Ope...

8. 

   31 Jan 2025

   AI and the Future of Work: Insights from Femke

   Send us a textIn this engaging conversation, Ralf Richter, Michael Plettner, and Femke Cornelissen discuss the evolving landscape of technology, particularly focusing on the role of women in tech and the impact of AI. They explore Femke's journey in the tech industry, the significance of community support, and the practical applications of AI tools like Copilot. The discussion highlights the importance of empowering women in technology and the collaborative efforts needed to foster inclusivit...

9. 

   16 Jan 2025

   AI Insights and Decode AI: Navigating the current landscape and the evolution of our podcast

   Send us a textIn this episode of the Decode AI Podcast, hosts Michael and Ralf discuss the evolution of their podcast format, focusing on the current state of AI, customer perspectives, and the importance of understanding use cases. They explore the challenges businesses face in implementing AI, the significance of data strategies, and the role of AI in enhancing efficiency. The conversation also touches on the hype surrounding AI, its impact across various industries, and best practices for ...

10. 

    16 Oct 2024

    Mit Michael Greth über Small Language Models und Larg Language Models

    Send us a textIn dieser Episode von DECODE AI führen die Moderatoren Ralf Richter und Michael Plettner eine umfassende Diskussion mit Michael Greth über die Entwicklung und praktischen Anwendungen der Künstlichen Intelligenz (KI). Michael teilt seinen Werdegang von der Arbeit mit Microsoft-Technologien und SharePoint bis hin zur Erkundung der Möglichkeiten der KI, insbesondere von Sprachmodellen wie ChatGPT. Das Gespräch behandelt die Bedeutung der Sprachverarbeitung, den Übergang von traditi...

11. 

    30 Aug 2024

    Cloud AI Act with Raphael Koellner

    Send us a textIn this conversation, Ralf, Michael and Raphael Koellner discusse the AI Act and its implications for companies in Germany. They highlight the different perspectives on the AI Act, with some seeing it as over-regulation and others seeing it as necessary. All three also talk about their first experience with AI and shares current use cases, such as cost estimation for insurance companies and contract analysis. They explain the meaning of the AI Act and its four categories of AI s...

12. 

    17 Jul 2024

    Taking Small Steps: Implementing AI Tools Gradually The Future of AI as a Base Technology with Daniel Rohregger

    Send us a Text Message. (https://www.buzzsprout.com/twilio/text_messages/2327274/open_sms) In this episode of Decode AI, Michael and Ralf interview Daniel Rohregger, a Senior Solution Architect and Microsoft MVP for Microsoft Co-Pilot. Daniel shares his experience with Co-Pilot and discusses its potential for boosting productivity in various use cases. He emphasizes the importance of caution and research when using Co-Pilot, as it is still in its early stages. Daniel also highlights the need for companies to prepare for AI and explore its potential in their business processes. The conversation explores the implementation of AI in companies and the potential impact on job roles and performance reviews. It discusses the idea of using AI, specifically Copilot, for performance reviews and the benefits and limitations of this approach. The conversation also touches on the future of AI and its potential as a base technology in every company. The importance of considering ethical implications and taking a thoughtful approach to AI implementation is emphasized. Takeaways Microsoft Co-Pilot has the potential to boost productivity in various use cases, such as generating new product ideas and brainstorming game show concepts. Caution and research are necessary when using Co-Pilot, as the default model may not always provide accurate or high-quality results. Companies should prepare for AI and explore its potential in their business processes, considering technical readiness, tool readiness, and people readiness. AI technologies, including Co-Pilot, differ in terms of data access and control, with Microsoft Co-Pilot having full access to the company's environment. Companies should take small steps and implement AI tools like Co-Pilot gradually to ensure data protection and avoid potential issues. Implementing AI in companies requires change management to address employee concerns about job security. AI can assist with performance reviews by providing objective insights, but it should be used as a supplement to personal experience and feedback. AI has the potential to be a base technology in every company, providing valuable insights and streamlining processes. Consideration of ethical implications and the need for guardrails is crucial when implementing AI. Taking a thoughtful and agile approach to AI implementation is recommended, focusing on short-term plans and gradual steps. Keywords Decode AI, podcast, Daniel Rohregger, Senior Solution Architect, Microsoft MVP, Microsoft Co-Pilot, productivity, AI, use cases, caution, research, company readiness, AI implementation, job roles, performance reviews, Copilot, benefits, limitations, future of AI, base technology, ethical implications Links https://www.rohregger-it.de/blog (https://www.rohregger-it.de/blog) https://www.youtube.com/@rohreggerit/videos (https://www.youtube.com/@rohreggerit/videos) https://tr.ee/TL0XoVzhIX (https://tr.ee/TL0XoVzhIX) AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development

13. 

    28 Jun 2024

    Global AI Community - with Henk Boelman

    Send us a Text Message. (https://www.buzzsprout.com/twilio/text_messages/2327274/open_sms) Summary Henk Bulman, Senior Cloud Advocate at Microsoft, discusses his role in the global AI community and the importance of sharing content and connecting user groups. He shares his journey into AI and offers advice for developers looking to engage with AI. The conversation also touches on responsible AI and the need for companies to have mechanisms in place to ensure ethical and accountable AI practices. Henk highlights the GPT-4 Turbo's vision as a fascinating AI tool and predicts that multimodality will be a significant development in the near future. Takeaways The global AI community plays a crucial role in sharing content and connecting user groups around the world. Developers looking to engage with AI should focus on understanding how AI models work and how to use them effectively, rather than needing to build AI models themselves. Responsible AI practices are essential, and companies should have mechanisms in place to ensure ethical and accountable AI use. The GPT-4 Turbo's vision is an exciting AI tool that allows for multimodal interactions and has the potential to revolutionize AI capabilities. Multimodality is expected to be a significant development in the near future, merging speech, vision, and text models to create more versatile AI systems. Chapters 00:00 Introduction and Building the Global AI Community 06:18 Engaging with AI as a Developer 12:22 Henk's Journey into AI and Joining Microsoft 15:10 Understanding AI and Responsible AI Practices 29:57 The Future of AI: Multimodality Keywords AI community, global AI community, AI bootcamp, cognitive services, responsible AI, GPT-4 Turbo, multimodality AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development

14. 

    14 Jun 2024

    AI News flash from Google IO and Apple WWDC 2024

    Send us a Text Message. (https://www.buzzsprout.com/twilio/text_messages/2327274/open_sms) Summary In this episode, Michael and Ralf discuss the latest news from Microsoft, Google, and Apple regarding AI. They start with Microsoft's decision to focus on enterprise and discontinue support for custom GPTs in Co-Pilot. Then, they move on to Google's Gemini for Workspace, which offers summarized documents and meeting recaps. They also discuss Gemini 1.5 Pro and Flash, which are improved models with multi-modality and long context understanding. Finally, they mention Google's Veo, a generative video model, and Project Astra, a real-time AI assistant. In this conversation, Ralf and Michael discuss the latest announcements from Google I/O and Apple's WWDC. They cover topics such as Google's LaMDA, Google AIO, and LearnLM, as well as Apple's Apple Intelligence and the integration of ChatGPT 4o. They also touch on the new iPad calculator and the upcoming guest, Henk Boelman. Overall, they provide insights into the advancements in AI and technology from both companies. Takeaways Microsoft is discontinuing support for custom GPTs in Co-Pilot and focusing on enterprise Google's Gemini for Workspace offers summarized documents and meeting recaps Gemini 1.5 Pro and Flash have improved models with multi-modality and long context understanding Google's Vio is a generative video model and Project Astra is a real-time AI assistant Google's LaMDA and Google AIO showcase the advancements in natural language understanding and AI capabilities. LearnLM from Google aims to support students in their learning by providing additional resources and answers to educational questions. Apple's Apple Intelligence integrates AI capabilities into Siri and other Apple products, allowing for more interactive and personalized experiences. The integration of ChetGPT 4.0 into Apple's ecosystem offers developers the opportunity to build on AI capabilities. The addition of a calculator app on the iPad and other math-related features demonstrate Apple's focus on education and productivity. The upcoming guest, Henk Boelman, will provide insights into AI and the global AI community. Titles Google's Veo: Generative Video Model Project Astra: Real-Time AI Assistant LearnLM: Supporting Students with AI in Education Developing on AI Capabilities with ChatGPT 4.0 Chapters 00:00 Introduction and Overview 05:21 Gemini for Workspace: Summarized Documents and Meeting Recaps 10:28 Gemini 1.5 Pro and Flash: Improved Models with Multi-Modality 39:00 Project Astra: Real-Time AI Assistant 41:23 Google's LaMDA and Google AIO 45:46 LearnLM: AI Support for Education 53:09 Introducing Apple Intelligence 55:43 Creating Personalized Assistants with Gems 59:14 Apple's Integration of JetGPT 4.0 01:04:50 Enhancing Education and Productivity with the iPad Calculator 01:08:25 Upcoming Guest: Hank Bowman on AI and the Global Community Links https://www.windowscentral.com/software-apps/copilot-pros-gpt-builder-bites-the-microsoft-graveyard-dust-as-the-company-prioritizes-refinement-of-core-experiences (https://www.windowscentral.com/software-apps/copilot-pros-gpt-builder-bites-the-microsoft-graveyard-dust-as-the-company-prioritizes-refinement-of-core-experiences) Google I/O 2024 (io.google) (https://io.google/2024/) Introducing Apple Intelligence for iPhone, iPad, and Mac - Apple (https://www.apple.com/newsroom/2024/06/introducing-apple-intelligence-for-iphone-ipad-and-mac/) (https://www.apple.com/apple-intelligence/) AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development

15. 

    1 Jun 2024

    Get the news of OpenAI, Microsoft Build and what`s up-to-date!

    Send us a Text Message. (https://www.buzzsprout.com/twilio/text_messages/2327274/open_sms) Summary In this episode of Decode AI, Ralf and Michael discuss the latest news from Microsoft Build and OpenAI. They cover topics such as AI development tools, language models, and hardware advancements. The conversation also touches on the upcoming Google Gemini and the impact of AI on technology development. Takeaways Microsoft Build showcased a range of AI development tools and services, emphasizing the integration of AI technology into the development process. The announcement of ChatGPT 4.0 and its integration into Azure AI Studio and API demonstrates the rapid adoption of new language models. The introduction of Small Language Models (SLMs) by Microsoft, designed for local device integration, marks a significant step in bringing AI capabilities to consumer and business devices. The conversation also highlights the impact of AI on hardware advancements, such as the inclusion of Neural Process Units (NPUs) in devices to support AI-related tasks. The upcoming Google Gemini is teased as a topic for the next episode, indicating a continued exploration of AI advancements and their impact on technology development. Chapters 00:00 Introduction and Language Model Integration at Microsoft Build 03:04 Small Language Models (SLMs) and Local Device Integration 09:14 Impact of AI on Hardware Advancements 16:09 Teasing Google Gemini: The Next Frontier of AI Links https://learn.microsoft.com/en-us/purview/ai-microsoft-purview (https://learn.microsoft.com/en-us/purview/ai-microsoft-purview) https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/ (https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/) https://news.microsoft.com/build-2024-book-of-news/ (https://news.microsoft.com/build-2024-book-of-news/) https://learn.microsoft.com/en-us/windows/ai/toolkit/toolkit-getting-started?tabs=rest (https://learn.microsoft.com/en-us/windows/ai/toolkit/toolkit-getting-started?tabs=rest) https://www.apple.com/ma/newsroom/2024/05/apple-introduces-m4-chip/ (https://www.apple.com/ma/newsroom/2024/05/apple-introduces-m4-chip/) https://techcommunity.microsoft.com/t5/ai-ai-platform-blog/a-code-first-experience-for-building-a-copilot-with-azure-ai/ba-p/4058659 (https://techcommunity.microsoft.com/t5/ai-ai-platform-blog/a-code-first-experience-for-building-a-copilot-with-azure-ai/ba-p/4058659) https://techcommunity.microsoft.com/t5/azure-architecture-blog/azure-openai-landing-zone-reference-architecture/ba-p/3882102 (https://techcommunity.microsoft.com/t5/azure-architecture-blog/azure-openai-landing-zone-reference-architecture/ba-p/3882102) https://learn.microsoft.com/en-us/azure/architecture/ai-ml/ (https://learn.microsoft.com/en-us/azure/architecture/ai-ml/) https://learn.microsoft.com/en-us/azure/search/retrieval-augmented-generation-overview (https://learn.microsoft.com/en-us/azure/search/retrieval-augmented-generation-overview) https://www.chillblast.com/blog/what-is-an-npu-and-how-does-it-help-with-ai (https://www.chillblast.com/blog/what-is-an-npu-and-how-does-it-help-with-ai) AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development

16. 

    26 Apr 2024

    Getting your Data into AI with Sammy Deprez

    Send us a Text Message. (https://www.buzzsprout.com/twilio/text_messages/2327274/open_sms) We were lucky to get Sammy Deprez for an interview during the MVP Summit in Redmond to talk about how to deal with getting information from your data into AI. About our Guest Sammy Deprez As a seasoned Business Intelligence Consultant with over a decade of experience, Sammy has tackled diverse projects in various industries, ranging from finance to healthcare, with a specialization in the Microsoft Stack. In 2015, he pivoted his focus towards Machine Learning and Artificial Intelligence, and in 2017 he played a pivotal role in launching a new company that specializes in maximizing organizations' potential through the use of Artificial Intelligence and Microsoft tools. Links of this episode: Sammy Deprez https://arinti.ai/ (https://arinti.ai/) Great explanaiton of how LLMs work https://www.youtube.com/watch?v=vMVHj9VIrLA&feature=youtu.be (https://www.youtube.com/watch?v=vMVHj9VIrLA&feature=youtu.be) AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development

17. 

    9 Apr 2024

    Willkommen zu Decode AI

    Send us a Text Message. (https://www.buzzsprout.com/twilio/text_messages/2327274/open_sms) Willkommen zur allerersten Episode von "Decode AI", dem Podcast, der euch tief in die faszinierende Welt der künstlichen Intelligenz (KI) führt. Unsere Gastgeber, Michael und Ralf, bringen eine reiche Palette an Erfahrungen und Einsichten aus dem Bereich der IT und AI mit und sind hier, um ihr Wissen und ihre Leidenschaft mit euch zu teilen. In dieser Einführungsepisode stellen sich Michael und Ralf vor und geben einen Ausblick auf das, was die Zuhörer in zukünftigen Episoden erwarten können. Michael, Mitgründer von in2success, ist tief in die Microsoft-Technologiewelt eingetaucht, mit einem speziellen Fokus auf Microsoft Teams, Change Management und User Adoption. Als Microsoft MVP leitet er auch den Podcast "Talk Microsoft 365", wo er regelmäßig über die neuesten Themen rund um Microsoft 365 diskutiert. Ralf, mit über zwei Jahrzehnten Erfahrung in der IT-Branche, ist ein Microsoft AI MVP, der sein Wissen und seine Begeisterung für AI mit der Community teilt, unter anderem durch das Azure Meetup München und den Azure Developer Pro Community Day. Er hostet ebenfalls den Podcast "MVP Voices". Zusammen haben Michael und Ralf "Decode AI" ins Leben gerufen, um über die Grenzen von Microsoft-Produkten hinaus über AI zu sprechen und ein breiteres Verständnis für dieses revolutionäre Feld zu schaffen. Sie planen, eine Vielzahl von Themen zu behandeln, von grundlegenden AI-Konzepten und -Technologien bis hin zu aktuellen Trends, Sicherheitsaspekten und ethischen Überlegungen. In zukünftigen Episoden erwarten euch tiefergehende Einblicke in verschiedene AI-Technologien, Gespräche mit Experten aus dem Feld und Diskussionen über aktuelle AI-Themen und -Entwicklungen. Michael und Ralf möchten auch die Community einbeziehen und planen, regelmäßige Events und Meetups zu organisieren, um persönliche Interaktionen und Diskussionen zu fördern. Der Podcast wird zweisprachig sein, mit Episoden auf Deutsch und Englisch, je nach Thema und Gast. Anfangs könnt ihr alle zwei Wochen eine neue Episode erwarten, die euch auf dem Laufenden hält und euer Wissen über AI erweitert. Bereits in der nächsten Episode haben Michael und Ralf einen spannenden Gast aus Südafrika, der tief in der globalen AI-Community verwurzelt ist und über seine Erfahrungen und Einsichten im Bereich AI sprechen wird. "Decode AI" ist mehr als nur ein Podcast; es ist eine Reise in die Zukunft der Technologie, und Michael und Ralf freuen sich darauf, diese Reise mit euch zu teilen. Ihr Feedback, eure Fragen und Themenwünsche sind herzlich willkommen, da sie den Podcast bereichern und eine dynamische Community rund um "Decode AI" aufbauen möchten. Bleibt dran für spannende Diskussionen, wertvolle Einblicke und eine gute Portion Humor. Bis zur nächsten Episode! AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development

Podcast Authority Score: 7 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

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