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Career Decisions, Management, and Leadership in a Data and AI World: Part 4/4 Bridging the Gap between the Poets and the Quants
In this final webinar of our series on “Career Decisions, Management, and Leadership in a Data and AI World”, Venky Jitender and Eric Weber, two data leaders at digital native companies, will explain how, even for them, much of their focus is on overcoming cultural barriers between the technical contributors in their teams and their business stakeholders, particularly the non-technical oriented ones. We will discuss how they and their teams communicate value, choose what problems to solve and when, generate trust, drive adoption of new processes and technologies, educate stakeholders (both “poets” and “quants”), and generate alignment.
For more information please visit: https://digital.insead.edu/

Jun 16, 2021 05:00 PM in Paris

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Venkatesh Jitender (MBA’13D)
Head of Analytics, Data Engineering and Science @Amazon
Venkatesh (Venky) Jitender is passionate about formulating, implementing data driven strategies to optimize business models. He currently heads the Analytics, Data Engg. & Science teams in the International Seller Services business group at Amazon.com (Seattle, USA). He backs this with similar roles across 2 business orgs at Amazon (ALEXA, European Marketplace) and extensive experience in software development for the quantitative trading financial services sector. Venkatesh has worked across multiple locations including New York, London, Paris and Singapore and holds an MBA degree from INSEAD.
Eric Weber
Head of Experimentation @Yelp
Eric Weber is currently the GM of experimentation and a data science leader at Yelp. He has worked in leadership and individual contributor roles at Yelp, LinkedIn and CoreLogic after an academic career as an assistant professor. He loves working with data, educating others about data's value and helping people excel in technical roles. He is focused on statistics, machine learning, R, team building and executive education. Eric has a PhD and Masters in mathematics from ASU, a Masters in Business Analytics from University of Minnesota, and is currently completing the executive MBA at University of Chicago-Booth. Eric is a frequent speaker at many conferences and has been a guest on podcasts on all aspects of data. He has extensive experience teaching small seminars all the way up to courses with hundreds of students.
Theos Evgeniou
Professor of Decision Sciences and Technology Management @INSEAD
Theos Evgeniou is Professor at INSEAD since 2001, working on Machine Learning and AI for the past 25 years, on areas ranging from AI innovations for business process optimization and improving decisions, to data literacy and business transformation practices, AI and regulation, as well as on new Machine Learning methods. He has four degrees from MIT, two BSc degrees simultaneously, Computer Science and Mathematics, a Master and a PhD degree in Computer Science. His work has appeared in leading journals, such as in Science Magazine, Machine Learning, Nature Digital Medicine, HBR magazine, and others. He is currently director of the INSEAD Executive Education programs on “Transforming your Business with AI” and “AI for Business”. He is a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, and a World Economic Forum academic partner for Artificial Intelligence. He gives talks and consults for a number of organisations in his areas of expertise.