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AI is no longer just about models, prompts, tools, and benchmarks. In this episode of the Decoding Data Science Podcast, Mohammad Arshad speaks with Harinda about AI sovereignty, geopolitics, data governance, regulation, cloud infrastructure, compute, and the changing role of developers and data scientists. Most AI conversations today focus on which LLM is better, which agent framework is faster, or which AI tool can automate more work. But the bigger shift is happening beyond the model. AI is now becoming a question of national strategy, sovereignty, regulation, data residency, cloud infrastructure, chips, compute, governance, and global power. This conversation explores what AI sovereignty really means, why governments and organizations are paying attention to it, and how these decisions will directly impact developers, data scientists, AI builders, founders, and business leaders. Harinda brings over 20 years of experience across AI, data governance, entrepreneurship, government advisory, and international organizations. He has worked on generative AI before ChatGPT became mainstream, advised governments on data and AI strategy, and brings a unique perspective on the intersection of AI, geopolitics, business, and governance. In this episode, we discuss: * Why AI is no longer just a technical story * What AI sovereignty actually means * How data, compute, cloud, chips, and regulation shape AI strategy * How sovereignty affects developers and data scientists * Why technical professionals need to become risk-aware and strategy-aware builders * What leaders misunderstand about AI adoption * What may happen in AI over the next five years * How learners and professionals should prepare for the future of AI Chapters: 00:00 Introduction: AI Beyond the Model 03:00 Meet Harinda 06:00 Why AI is no longer just a technical story 12:00 The geopolitical layers behind AI 15:00 What AI sovereignty really means 21:00 Data, compute, cloud, chips, and regulation 24:00 How AI sovereignty affects developers and data scientists 31:00 The new role of technical professionals 37:00 What leaders misunderstand about AI strategy 41:00 The next five years of AI 44:00 How learners and professionals should prepare 46:00 Final message for the Decoding Data Science community Key topics: AI sovereignty, AI geopolitics, data governance, AI governance, responsible AI, AI regulation, sovereign AI, data science career, AI career, cloud infrastructure, compute, chips, national AI strategy, generative AI, LLMs, RAG, AI agents, AI leadership, and the future of data science. Subscribe to Decoding Data Science for practical conversations on AI, data science, generative AI, leadership, and the future of technology. #AISovereignty #AIGeopolitics #DataScience #ArtificialIntelligence #AIGovernance #GenerativeAI #FutureOfAI #AIRegulation #DataGovernance #AILeadership #DecodingDataScience

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