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Listen and get insights into "Data, AI & Business Outcomes" in this talk with Amit Shivpuja and Madhavi Rajan. Amit is the Director of Data & AI Enablement at Walmart, and author of the book: The Data & AI Compass. Madhavi is the Head of Product Strategy, Research & Operations at Rackspace Technology, and she is a Member of the Board of Directors at Women in Big Data.

In this episode you will gain insights into the intersection of AI, Data, and Business outcomes, emphasizing the importance of AI and data literacy in organizations. You will learn that many enterprises, especially within the Fortune 100, are still in the early stages of AI adoption, shifting from hype to practical execution. The conversation highlights the need for categorizing AI initiatives to improve operational efficiency, customer engagement, and product strategies. Central to the dialogue is the emphasis on strong leadership and organizational alignment to effectively navigate the continuously changing AI landscape and drive meaningful business transformation.

"I would say AI isn't a tech in initiator. It's actually a leadership shift. So, we are not just like rolling out the models or the product; it's actually much more than that. It's is values, it's risk, and it's trust. And that takes not just innovation of your product but it takes like alignment, and then the sponsorship and executive courage." - Madhavi Rajan.

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Chapters

1. Intro (00:00:00)

2. Current State of AI & Where Are We Going? (00:01:14)

3. Madhavi's role in shaping the AI strategy at Rackspace Technology (00:04:30)

4. Amit's role in shaping the AI strategy at Walmart (00:06:49)

5. Amit, author of the book: The Data and AI Compass (00:08:01)

6. Key infrastructure and data dependencies before you can start leveraging AI (00:08:30)

7. Book: The Thinking Machine - Stephen Witt (The story of Nvidia) (00:10:16)

8. AI, Business Leaders, and Professionals (00:11:03)

9. AI literacy (00:11:47)

10. Is AI going to take my job? (00:12:39)

11. Examples of AI projects with succesfull business outcomes (00:13:22)

12. Who is a women in big data that you admire and why? (00:16:11)

13. What is the best career advice you have ever received? (00:17:09)

14. Outro (00:20:37)

22 episodes