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The Future of E-commerce Through the Lens of Data Science | Gene Tabach (Director of Data Science at Instacart)
8th September 2022 • The Data Storytellers Podcast • The Data Storytellers Podcast
00:00:00 00:43:33

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On this episode of The Data Storytellers podcast, we explore the vital role of data, technology, and human capital in transforming industries with Gene Tabach, Director of Data Science at Instacart. Gene shares his rich experience transitioning through prominent companies like Capital One, Google, Facebook, and Instacart, emphasizing how data science is not just about analytics but also about influencing product strategy and improving consumer experiences. We delve into the importance of cross-functional collaboration, the challenges of adopting data-driven approaches in traditional businesses, and ethical considerations in the development and implementation of AI and machine learning tools.

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• Website: https://thedatastorytellers.com/

• LinkedIn: https://www.linkedin.com/company/the-data-storytellers

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• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476


00:08 - Introduction to Gene Tabach and his role at Instacart

01:35 - Gene’s career path from Capital One to Instacart

04:36 - Discussion on the evolution of data science in business

08:41 - Insights into the strategic role of data at Facebook

12:09 - Challenges of integrating data science across different industries

14:01 - How data-driven strategies are formulated and implemented

16:56 - The importance of data literacy within corporate leadership

19:03 - Transitioning from traditional industries to data-centric approaches

23:41 - Key skills and strategies for executive buy-in on data initiatives

27:44 - Gene's perspective on the future of data science in retail and e-commerce

30:32 - Impact of machine learning and AI on improving customer experiences

34:50 - The critical role of ethics in data handling and algorithm deployment

38:27 - Advice for upcoming data scientists and leaders in the tech industry

40:58 - Closing thoughts and reflections on the journey in data science

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