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Real world wins: Gen AI for customer-centric solutions
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In this episode, Nitin Seth (Co-founder and CEO, INCEDO) discusses the critical role of data in digital transformation, the importance of contextualizing AI models, and the widespread implications of AI on jobs and enterprise productivity. Nitin also highlights the ethical considerations companies must address, including data privacy and bias, and emphasizes the need for global standards. The conversation offers insights for executives at the start of their AI journey and explores how INCEDO integrates generative AI into its services to drive efficiency and innovation.
Nitin Seth is an accomplished technology industry leader with a unique combination of experiences as a global manager, innovative entrepreneur, management consultant, and bestselling author. He is passionate about building and transforming businesses, driving innovation, coaching leaders, and building high performance teams. Nitin has nearly three decades of experience leading transformative initiatives in business, digital, data, and AI for global organizations. He has held key roles including Director of McKinsey’s Global Knowledge Centre, India, Managing Director and Country Head at Fidelity International, India, and COO at Flipkart. He has been elected twice to the NASSCOM Executive Council, PharmaVOICE named him one of the 100 Most Influential People in the Life Sciences Industry in 2021, and he has received several “CEO of the Year” and “Thought Leader of the Year” titles globally. Nitin is also an award-winning, bestselling author of "Mastering the Data Paradox" and "Winning in the Digital Age," both published by Penguin Random House.
00:00 Introduction to The GenAIrous Podcast
00:42 Meet Nitin Seth: CEO and Author
01:22 Exploring Nitin's First Book: Winning in the Digital Age
03:24 The Data Paradox: Insights from Nitin's Second Book
06:43 Generative AI and Its Impact on Businesses
11:13 The Future of Jobs in the Age of AI
18:12 Ethical Considerations in AI
24:27 INCEDO's Approach to Generative AI
28:26 Advice for Executives Starting Their AI Journey
31:41 Conclusion and Farewell
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