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Explore Do Data Leaders Need to Think Like Lawyers?AI, IP & the Future of Data Governance with 988 views, 16 likes, and 17 comments. Experience the impact of this video content that has captured audience attention.

AI is no longer just about models, dashboards, automation, and productivity. As companies adopt generative AI, AI agents, copilots, and enterprise AI workflows, data leaders also need to understand privacy, compliance, intellectual property, contracts, ownership, governance, and business risk. In this episode of the Decoding Data Science Podcast, I speak with Raghavendra Datta Palleti, an AI and BI leader with around 14 years of experience building AI and Business Intelligence Centres of Excellence across TravelTech and Supply Chain. He also brings legal training in Data Privacy, IP Law, and Contract Law, making this conversation highly relevant for modern AI and data leaders. In this conversation, we discuss: Do data leaders need to think like lawyers? Who owns AI-generated output? What are the biggest IP risks in enterprise AI? How can companies stay compliant without slowing innovation? Are data moats becoming the new intellectual property? How do AI agents change accountability and governance? What should AI professionals learn beyond technical skills? This episode is useful for data leaders, AI professionals, founders, business executives, governance teams, and anyone building AI systems responsibly. Guest: Raghavendra Datta Palleti Website: www.raghavdatta.com LinkedIn: https://www.linkedin.com/in/raghavendradattap/ Subscribe to Decoding Data Science for more conversations on AI, data science, leadership, and the future of technology. #ArtificialIntelligence #DataGovernance #AILeadership #IntellectualProperty #DataPrivacy #ResponsibleAI #GenerativeAI #AIAgents #DataScience #DecodingDataScience

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