About
While Large Language Models have largely solved the unstructured data generation problem, forecasting and optimization are the next AI frontier to conquer. How can business leaders leverage generative AI to more accurately predict and plan for their products, sales, people, and budgets - especially in today's dynamic business environment? Join us for a lively discussion where we'll challenge conventional approaches and dig into what it takes to successfully transform your enterprise decision-making with generative AI.
Presenters
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Amanda Scheldt
Cybersecurity Writer and Webinar Host
Amanda Scheldt is a cybersecurity writer with an extensive background in cybersecurity research, threat intelligence, national security intelligence, and security awareness training. She has a Masters of Science in Cybersecurity from Webster University. Amanda combines her past industry expertise along with a passion for writing to promote more awareness and education in cybersecurity.
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Kamal Ahluwalia
President - Ikigai Labs
Kamal Ahluwalia is an experienced leader in creating new categories and building high-growth global businesses. Kamal has co-authored two recent books, "What's Next for You" and "Deep Talent". These represent his commitment to empowering the current and next generation of leaders with the skills and platform necessary for success in the AI era. Prior to joining Ikigai Labs, Kamal built Eightfold AI from infancy into a global leader as Talent Intelligence Platform.
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Eddy Farhat
Executive Director - e& Capital
Eddy Farhat serves as an Executive Director at e& capital, where he brings more than 15 years of diverse experience in leadership roles. His expertise spans strategy, analytics, and marketing. He has made significant contributions to numerous startups in the eCommerce, fintech, and healthtech sectors. Eddy's corporate journey also includes previous experience in technology consulting at Booz & Co and business development at Google. He holds an M.Sc. in Software and Networking Engineering, specialising in high-performance computing.