In this episode, Amir Bormand is joined by Willem Koenders, the Global Leader in Data Strategy at ZS, to discuss the intricacies of AI and Generative AI (Gen AI) data strategies. The conversation delves into the unique challenges and considerations that companies face when implementing AI strategies, emphasizing the importance of data quality, governance, and realistic expectations. Willem shares insights on the evolution of data trends and how businesses can leverage past learnings to enhance their current AI initiatives. They also explore industry-specific impacts, decision-making for adopting AI, and the vital role of foundational data management in ensuring successful AI implementation.

Highlights

01:54 AI and Gen AI Data Strategies

02:57 Realism and Expectations in AI Implementation

04:33 Data Management Foundations

06:56 Challenges with Legacy Data

08:37 Strategic Approaches to Data and AI

11:01 Future of AI in Enterprises

18:57 Preparing for AI Implementation

21:13 Privacy and Ethics in AI

Guest:

Willem Koenders is a global leader in data strategy at ZS Associates, boasting 10 years of experience advising top organizations on leveraging data to gain and maintain a competitive edge. He has worked with clients across Europe, Asia, the United States, and Latin America. Formerly, he led Deloitte’s data strategy and data management practice for Spanish Latin America. Willem is passionate about data-driven transformations and strongly advocates for data governance by design.

LinkedIn: https://www.linkedin.com/in/koenders-willem

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