Today’s most transformative use cases—predicting customer churn, advancing personalized medicine, modeling risk, and countless others—rely on a variety of analytic capabilities working in concert and sharing data. But creating a “shared data experience” can prove challenging in the public cloud, where transient environments and siloed applications reign. Amr Awadallah explains why the cloud requires a different approach to machine learning and analytics and what you can do about it.
Amr Awadallah is the cofounder and CTO at Cloudera. Previously, Amr was an entrepreneur in residence at Accel Partners, served as vice president of product intelligence engineering at Yahoo, and ran one of the very first organizations to use Hadoop for data analysis and business intelligence. Amr’s first startup, VivaSmart, was acquired by Yahoo in July 2000. Amr holds bachelor’s and master’s degrees in electrical engineering from Cairo University, Egypt, and a PhD in electrical engineering from Stanford University.
Sangeeth is a strategic and result oriented technology leader with 20-plus years of broad leadership experience in technology strategy and enterprise solutions delivery in retail, hospitality and financial services domains. He has extensive experience in overseeing strategic programs and managed portfolios encompassing e-Commerce, CRM/Loyalty, Supply Chain, Distribution, Business Intelligence, Data Analytics and Operations across a variety of technology platforms. He has a passion for building high performing teams and motivating individuals to maximize organizational productivity.
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