Businesses that harness new data sources and use AI and machine-learning technology to provide insights will be in a strong position to shape future commercial development and influence how society changes. Many of the algorithms behind AI and machine-learning systems are not new but limited volumes of accessible data have hampered their application. The recent explosion in data volumes and availability has led to a step change in the training of algorithms and provided important new insights: easy access to vast data volumes is making AI algorithms smarter.

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Shell is an integrated energy company going through a significant transition as the world’s need for more and cleaner energy solutions require significant changes in the way in which energy provided. Digital technology, including AI, is a significant enabler for this transformation, from more efficient exploration and production, more reliable manufacturing, more nimble trading, and a more intimate customer experience and new digital solutions for emerging areas such as power and hydrogen. Embedding AI in every part of our organization is crucial—from making our existing businesses more effective, efficient and make us competitive.

Anyone can develop a small-scale proof of concept with a machine learning model that meets a specific local requirement. But, to make an impact and maintain it at scale, we need to develop solutions which can be deployed globally at a rapid pace.

To enable AI at scale across Shell’s businesses, we are standardising approaches and aligning on common data structures, platforms, tools and ways of working. This allows us to share best practice, code and work seamlessly in cross discipline global teams.

Shell.ai is a change programme was formed to drive a common approach to data science platform technology, develop consistent ways of working, and build a community of practice which can demonstrates the art of the possible, and shares best practices across the entire business.

  • We have a community (Shell.ai community) of over 5000 people engaged the Shell.ai programme. We have over 160 AI projects in flight. Our Shell.ai Self-Service platform is used by over 800 citizen data scientists.
  • We have held over 40 hackathons in the last few years.
  • We have over 1.1 trillion rows of curated sensor data in our data lake – used for the purposes of machine learning. Over the last year, we have quintupled the amount of data we have integrated into our central data platforms – handling 850,000 sensors producing data at a frequency of once every minute or higher.
  • We are managing thousands of live machine learning models, monitoring over 1500 different pieces of equipment.
Data scientists collaborating

Shell.ai Residency programme

In line with its ambition to grow and strengthen our talent pools, Shell has launched its AI Residency Programme, a two-year immersive opportunity designed for students to work on projects across Shell’s business.

The programme offers residents the opportunity to develop deep, technical expertise across the spectrum of AI, learning more about the energy industry and working in agile teams to develop new solutions that can optimise current processes, enable workforce and unlock new business models.

Learn how you can become a Shell.ai Resident

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Shell is a pioneer in the development and deployment of many digital technologies.

Digitalisation Research Publications

Shell is built on 125 years of technological innovation. Our grasp of computational technology helped us to lead the way in technological developments in exploration in the 1960s, 70s and 80s. This expertise in mathematics and computing is what gives us such a strong advantage today in developing and adopting digital technology.