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The State of AI Adoption

Posted Oct 20, 2022 | Views 1.5K
# TransformX 2022
# Fireside Chat
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Thomas Kurian
CEO @ Google Cloud

Thomas joined Google in November 2018 as the CEO of Google Cloud. Prior to Google, Thomas spent 22 years at Oracle, where most recently he was President of Product Development. Before that, Thomas worked at McKinsey as a business analyst and engagement manager. His nearly 30 years of experience have given him a deep knowledge of engineering, enterprise relationships, and leadership of large organizations.

Thomas' degrees include, an MBA in Administration and Management from Stanford University as an Arjay Miller Scholar and a BSEE in Electrical Engineering and Computer Science from Princeton University where he graduated Summa Cum Laude. Thomas serves as a member of the Stanford Graduate School of Business Advisory Council and Princeton University School of Engineering Advisory Council.

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Alexandr Wang
CEO & Founder @ Scale AI

Alexandr Wang is the founder and CEO of Scale AI, the data platform accelerating the development of artificial intelligence. Alex founded Scale as a student at MIT at the age of 19 to help companies build long-term AI strategies with the right data and infrastructure. Under Alex's leadership, Scale has grown to a $7bn valuation serving hundreds of customers across industries from finance to e-commerce to U.S. government agencies.

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SUMMARY

Thomas Kurian, the CEO of Google Cloud, will join Alexandr Wang, CEO and Founder of Scale, to discuss how AI helps businesses across various industries and use cases. Google Cloud is well-known for developer adoption, helping machine learning teams to create production-grade machine learning models. With platforms like Vertex AI and TensorFlow, Google boasts the most popular machine learning platforms adopted by over 3 million developers globally. Google also has succeeded with the widespread adoption of machine learning capabilities in its consumer and business products, including Gmail smart replies and predictive search.

Kurian will advise how to best roll out machine learning capabilities to many customers and ensure they are widely adopted. He will also discuss that, with the advent of foundation models, now is the time for all industries to more broadly adopt AI or risk falling behind the competition. He will detail practical use cases for retail, logistics, manufacturing, and healthcare. Kurian and Wang will also discuss the future of machine learning and what it will take to get there.

Before Google, Kurian spent 22 years at Oracle; his nearly 30 years of experience have given him a deep knowledge of engineering, enterprise relationships, and leadership of large organizations. Throughout his career, he has demonstrated a unique capability to align the latest technological developments, including machine learning, with real business problems to provide practical solutions to customers.

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