Shell delivers innovative energy solutions with data and AI on Databricks
Shell built its Shell.ai platform on Databricks to unify data, analytics, and AI workloads for its 600-member mathematics, computational and data science team, running over 100 AI applications including an inventory prediction model running 10,000+ simulations across spare parts and facilities, and an AI-powered recommendation engine for its loyalty program.
Overview
Shell built its Shell.ai platform on Databricks to unify data, analytics, and AI workloads for its 600-member mathematics, computational and data science team, running over 100 AI applications including an inventory prediction model running 10,000+ simulations across spare parts and facilities, and an AI-powered recommendation engine for its loyalty program.
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Inspect the highlighted sourceThe challenge
Shell had the challenge to scale its data infrastructure for analytics, big data processing and machine learning, hampered by legacy technology infrastructure, exponential growth in data, and a lack of data engineering and science skills.
The solution
Shell chose the Databricks Data + AI Platform as one of the key tools within the Shell.ai Platform, providing a scalable, fully managed platform that unifies all data, analytics and AI workloads; Shell used it to run 10,000+ inventory simulations across all its parts and facilities and to build a recommendation engine for its loyalty program.
Reported business value
Shell's inventory prediction models now run in hours rather than days, significantly improving stocking practices and saving a lot of money annually, while the AI-powered recommendation engine tailors offers and rewards for millions of loyalty program customers.
Sources
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Other energy entries in the register.
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