Why Enterprise Governance Fails (And How Practitioners Fix It) | #abtalks

In this episode, we sit down with Indrajit Kar and Zonunfeli Ralte — authors of Building Multimodal Generative AI & Agentic Applications, Ultimate Genetic Algorithms with Python, and Learn Python Generative AI — to unpack how modern GenAI, multimodal systems, and agentic AI architectures are actually built in the real world.From the motivation behind writing these books to designing production-ready multimodal pipelines, this conversation goes deep into how AI is evolving — and how humans, engineers, and organisations must adapt alongside it.🎧 Here’s what we discuss: • Why they decided to write books on Multimodal AI, Agentic AI & Python GenAI • The real process of creating a technical AI book • Practical real-world examples from the books • How the human role will evolve in agentic AI systems • Native vs horizontal agentic AI architectures • The most impactful parts of the books • Responsible and ethical AI implementation in organisations • How these books help working AI professionals • Key takeaways for readers • High-value real-world use cases of GenAI & Agentic AI • Step-by-step guidance for beginners in AI • India’s current position in GenAI and Agentic AI adoptionWhether you’re a student, AI engineer, data scientist, or tech leader, this episode delivers practical insights into building, scaling, and using next-generation AI systems.Speakers – Indrajit Kar – Author, Building Multimodal Generative AI & Agentic Applications, Ultimate Genetic Algorithms with Python Zonunfeli Ralte – Author, Learn Python Generative AI, Ultimate Genetic Algorithms with Python⸻⏱️ Timestamps 00:00 – Introduction to Multimodal AI & Agentic AI04:20 – Motivation to write books on Generative AI & Python09:07 – The real process of building a technical AI book12:37 – Practical real-world GenAI example from the book18:54 – Challenges of writing AI books in the digital era22:10 – How the human role evolves in Agentic AI systems25:13 – Native vs Horizontal Agentic AI architectures29:50 – Most impactful parts of the Multimodal & GenAI books34:56 – Ensuring responsible & ethical AI in organisations39:13 – How these books help AI professionals42:26 – Key takeaways for readers44:41 – Real-world use cases of Multimodal & Agentic AI47:04 – Beginner roadmap for learning AI & GenAI51:19 – India’s growth in GenAI & Agentic AI adoption54:23 – Conclusion ⸻📩 Contact Us: Want to collaborate, share feedback, or feature on our next episode? 👉 Email us at: [email protected] 👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video: ✅ Like ✅ Comment your thoughts or questions ✅ Subscribe for more insights on AI, careers, and technology leadership 🔔 Turn on notifications so you don’t miss future episodes#Podcast #ABTalks #AnilBajpai #MultimodalAI #AgenticAI #GenerativeAI #PythonAI #GenAI #ArtificialIntelligence #MachineLearning #DeepLearning #LLM #Transformers #Autoencoders #GeneticAlgorithms #AIPodcast #FutureOfAI #TechLeadership #DigitalTransformation