Building an AI-Native Organization | Jacob Miller & Jeremy Mumford

What does it actually mean to build an AI-native organization?In this episode of the Tech Pubcast, Jess Haberman talks with Jacob Miller and Jeremy Mumford about writing a practical AI leadership book designed to stay relevant long after today’s tools become obsolete.They discuss:Why “interesting” AI projects often fail to deliver valueThe biggest mistakes companies make when adopting AIHow unstructured data is reshaping enterprise strategyHow to build AI systems around business outcomes instead of hypeThe challenge of writing an evergreen AI book in a rapidly changing industryWhat first-time authors should know before pitching a technical bookPlus: a behind-the-scenes look at how they co-authored Architected Intelligence while working full-time in AI leadership roles.Get the book, Architected Intelligence: https://a.co/d/0asRgKoRWork with Jess: jesslhaberman.com/contactConnect with Jess on LinkedIn: linkedin.com/in/jhabermanCHAPTERS00:42 Introduction to the Authors and Their Journey02:00 The Concept Behind 'Architected Intelligence'05:11 Defining Architected Intelligence and Its Importance07:26 Challenges Tech Leaders Face in AI Implementation09:25 Understanding the ROI of AI11:29 Technical Architecture and Its Relevance13:44 Lessons Learned from the Writing Process18:29 Collaboration Dynamics Between Co-Authors21:16 Expectations and Future Aspirations24:16 Advice for Aspiring Authors25:41 Reading Inspirations and Influences25:44 What's Next for the Authors?#AI #ArtificialIntelligence #AIStrategy #EnterpriseAI #AILeadership #GenerativeAI #DigitalTransformation #DataStrategy #UnstructuredData #MachineLearning #TechLeadership #TechnicalBooks #BookWriting #ArchitectedIntelligence #TechPubcast