How do we use AI to help us work across siloes and integrate insights from leakage, per capita consumption and water quality?
Challenge
Water companies are not short of data and operators are not short of tools. The challenges are having the right data and insight available when you need it, access to contextual data to give situational awareness, and the ability to interrogate and then interpret this huge quantity of information.
Proposal
A Generative AI co-pilot will be trained on NWG operational procedures, regulatory standards and historic data about the Teesside network. The co-pilot will sit at the front end of the model, alongside the user interface, and support NWG Ops to query the meaning and recommendations of the insight.
During the Festival users from across the business will use this environment to explore how existing jobs can be simplified and how new insights can be generated, especially those that cut across organisational boundaries. E.g. what leakage repair jobs may be happening in an area that could be impacting water quality.
Target Audience
NWG Operations and teams responsible for Water Quality, Leakage and Per Capita Consumption; Utilities including a number of global utilities that Siemens will invite to participate; R&M partners; other technology partners who are also involved in delivering the relevant solutions.
What will we do?
- Demonstrate the co-piloted smart network and get feedback on usability and performance. This should help attendees understand the potential and constraints of the involved technologies, especially generative AI
- Relevant NWG users will explain their roles, will be facilitated by a business analyst to map them out, and then supported to understand if the demonstrated technology (which is focussed on operational data) can help – and where it can't.
- Estimate the potential value of improving delivery of these use cases.
