The challenge
The client ran an internal programme in which employees submitted ideas for using OpenAI technologies to improve and automate company processes, and needed the prioritised ideas turned into working solutions.
Energy & Utilities • Azure AI
Machine Learning
Machine Learning Prototypes from an Employee AI Ideation Programme
Built machine learning solutions on Azure to automate and improve processes prioritised through an internal employee AI ideas programme.
Ref: IONSE103515
Video story · 1:01
The approach
Kumulus prepared the data, developed machine learning models and carried out technical validation for the prioritised processes, using Microsoft Azure.
The outcome
An employee-submitted AI idea became a focused workflow grounded in sector-specific information. The Azure OpenAI proof of value helps energy-sector specialists search regulatory material and transmission contracts for regulatory analysis, public consultation responses and internal legal reviews.
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