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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Nov 21, 2018

In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell.

In our conversation, Daniel and I explore the evolution of analytics and data science at Shell, and cover a ton of interesting machine learning use cases that the company is pursuing, such as well drilling and charging smart cars. A good bit of our conversation centers around IoT-related applications and issues, such as inference at the edge, federated machine learning, and digital twins, all key considerations for the way they apply ML. We also talk about the data science process at Shell and the importance of platform technologies to Daniel’s organization and the company as a whole and we discuss some of the technologies he and his team are excited about introducing to the company.

For the complete show notes for this episode, visit

For more information on the AI Platforms series, visit

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