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Case study

Improving internal AI/data capabilities of a global energy company

Customer

Global energy / commodity trader


Challenge

The client sought to identify areas where data science could improve capability and insights within the organisation. They needed to have their own data science team developing and deploying ML models that give traders and analysts a competitive edge. Faculty formed a data science partnership with the client to support the build of their internal capability across seven key areas.


Solution

We performed an audit to assess the scope of AI/data capabilities required, and implemented an AI workbench to facilitate the development of these use cases and build analytics capability. The Faculty team supported upskilling the client’s data science team with on the job coaching and dedicated training sessions.


Impact

Our assessment and platform enabled the client to widen its capability and begin deployment of AI models to improve business insights, enabling the client to reduce their reliance on external parties.

To find out more about what Faculty can do
for you and your organisation, get in touch.