Decode AI

Michael & Ralf

Welcome to "Decode AI" Podcast!

­čÄë 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. ­čžá From understanding the fundamentals of AI to exploring cutting-edge tools like Copilot and other AI marvels, our podcast is your ultimate guide. ­čĺí 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! ­čÜÇ

Willkommen beim "Decode AI" Podcast!

­čÄë Bist du bereit, die Geheimnisse der k├╝nstlichen Intelligenz zu entr├Ątseln? Begleite uns auf einer spannenden Reise durch die faszinierende Welt der KI, wo wir die Grundlagen und mehr entschl├╝sseln werden. ­čžá Vom Verst├Ąndnis der Grundlagen der KI bis hin zur Erkundung modernster Tools wie Copilot und anderen KI-Wundern ist unser Podcast dein ultimativer Leitfaden. ­čĺí Mach dich bereit, tief in das Reich der k├╝nstlichen Intelligenz einzutauchen und ihre Geheimnisse mit "Decode AI" zu enth├╝llen. Abonniere jetzt und begebe dich auf ein aufkl├Ąrendes Abenteuer in die Zukunft der Technologie! ­čÜÇ


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Episodes

Taking Small Steps: Implementing AI Tools Gradually The Future of AI as a Base Technology with Daniel Rohregger
1w ago
Taking Small Steps: Implementing AI Tools Gradually The Future of AI as a Base Technology with Daniel Rohregger
Send us a Text Message.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.TakeawaysMicrosoft 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.KeywordsDecode 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 implicationsLinkshttps://www.rohregger-it.de/bloghttps://www.youtube.com/@rohreggerit/videoshttps://tr.ee/TL0XoVzhIXAI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development
Global AI Community - with Henk Boelman
Jun 28 2024
Global AI Community - with Henk Boelman
Send us a Text Message.SummaryHenk 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.TakeawaysThe 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.Chapters00:00 Introduction and Building the Global AI Community06:18 Engaging with AI as a Developer12:22 Henk's Journey into AI and Joining Microsoft15:10 Understanding AI and Responsible AI Practices29:57 The Future of AI: MultimodalityKeywordsAI community, global AI community, AI bootcamp, cognitive services, responsible AI, GPT-4 Turbo, multimodalityAI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development
AI News flash from Google IO and Apple WWDC 2024
Jun 14 2024
AI News flash from Google IO and Apple WWDC 2024
Send us a Text Message.SummaryIn 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.TakeawaysMicrosoft is discontinuing support for custom GPTs in Co-Pilot and focusing on enterpriseGoogle's Gemini for Workspace offers summarized documents and meeting recapsGemini 1.5 Pro and Flash have improved models with multi-modality and long context understandingGoogle'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.TitlesGoogle's Veo: Generative Video ModelProject Astra: Real-Time AI AssistantLearnLM: Supporting Students with AI in EducationDeveloping on AI Capabilities with ChatGPT 4.0Chapters00:00 Introduction and Overview05:21 Gemini for Workspace: Summarized Documents and Meeting Recaps10:28 Gemini 1.5 Pro and Flash: Improved Models with Multi-Modality39:00 Project Astra: Real-Time AI Assistant41:23 Google's LaMDA and Google AIO45:46 LearnLM: AI Support for Education53:09 Introducing Apple Intelligence55:43 Creating Personalized Assistants with Gems59:14 Apple's Integration of JetGPT 4.001:04:50 Enhancing Education and Productivity with the iPad Calculator01:08:25 Upcoming Guest: Hank Bowman on AI and the Global CommunityLinks 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) Introducing Apple Intelligence for iPhone, iPad, and Mac - Apple AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development
Get the news of OpenAI, Microsoft Build and what`s up-to-date!
Jun 1 2024
Get the news of OpenAI, Microsoft Build and what`s up-to-date!
Send us a Text Message.SummaryIn 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.TakeawaysMicrosoft 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.Chapters00:00 Introduction and Language Model Integration at Microsoft Build03:04 Small Language Models (SLMs) and Local Device Integration09:14 Impact of AI on Hardware Advancements16:09 Teasing Google Gemini: The Next Frontier of AILinkshttps://learn.microsoft.com/en-us/purview/ai-microsoft-purviewhttps://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://news.microsoft.com/build-2024-book-of-news/https://learn.microsoft.com/en-us/windows/ai/toolkit/toolkit-getting-started?tabs=resthttps://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/4058659https://techcommunity.microsoft.com/t5/azure-architecture-blog/azure-openai-landing-zone-reference-architecture/ba-p/3882102https://learn.microsoft.com/en-us/azure/architecture/ai-ml/https://learn.microsoft.com/en-us/azure/search/retrieval-augmented-generation-overviewhttps://www.chillblast.com/blog/what-is-an-npu-and-how-does-it-help-with-aiAI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development
Willkommen zu Decode AI
Apr 9 2024
Willkommen zu Decode AI
Send us a Text Message.Willkommen zur allerersten Episode von "Decode AI", dem Podcast, der euch tief in die faszinierende Welt der k├╝nstlichen Intelligenz (KI) f├╝hrt. 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 Einf├╝hrungsepisode stellen sich Michael und Ralf vor und geben einen Ausblick auf das, was die Zuh├Ârer in zuk├╝nftigen Episoden erwarten k├Ânnen. Michael, Mitgr├╝nder 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 regelm├Ą├čig ├╝ber die neuesten Themen rund um Microsoft 365 diskutiert.Ralf, mit ├╝ber zwei Jahrzehnten Erfahrung in der IT-Branche, ist ein Microsoft AI MVP, der sein Wissen und seine Begeisterung f├╝r AI mit der Community teilt, unter anderem durch das Azure Meetup M├╝nchen 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 ├╝ber die Grenzen von Microsoft-Produkten hinaus ├╝ber AI zu sprechen und ein breiteres Verst├Ąndnis f├╝r dieses revolution├Ąre 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 ├ťberlegungen.In zuk├╝nftigen Episoden erwarten euch tiefergehende Einblicke in verschiedene AI-Technologien, Gespr├Ąche mit Experten aus dem Feld und Diskussionen ├╝ber aktuelle AI-Themen und -Entwicklungen. Michael und Ralf m├Âchten auch die Community einbeziehen und planen, regelm├Ą├čige Events und Meetups zu organisieren, um pers├Ânliche Interaktionen und Diskussionen zu f├Ârdern.Der Podcast wird zweisprachig sein, mit Episoden auf Deutsch und Englisch, je nach Thema und Gast. Anfangs k├Ânnt ihr alle zwei Wochen eine neue Episode erwarten, die euch auf dem Laufenden h├Ąlt und euer Wissen ├╝ber AI erweitert.Bereits in der n├Ąchsten Episode haben Michael und Ralf einen spannenden Gast aus S├╝dafrika, der tief in der globalen AI-Community verwurzelt ist und ├╝ber 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 Themenw├╝nsche sind herzlich willkommen, da sie den Podcast bereichern und eine dynamische Community rund um "Decode AI" aufbauen m├Âchten. Bleibt dran f├╝r spannende Diskussionen, wertvolle Einblicke und eine gute Portion Humor. Bis zur n├Ąchsten Episode!AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development