Dan Wilson, the asset data manager and NMS data lead at Electricity North West, will join the line up on Utility Week’s webinar on using AI technology to improve asset data – to be held on Tuesday (19 November).

Wilson is part of the asset management team at Electricity North West and leads on the company’s asset information strategy and governance of corporate data. This remit covers both short-term tactical management of data requirements and the long-term strategy across data collection, storage, analysis and presentation to support the operation of the business. Alongside his primary role, Daniel is also involved in the wider asset management strategy functions of the team.

He will be presenting on challenges of ENW’s Network Management System project which involves the company building the full network model from a GIS and Asset Register, and how the team prepared their data to enable this.

The webinar will also focus on how AI-based technology is helping utility companies track the precise location of roadside assets.

It is being presented by Utility Week in association with Ordnance Survey and Mobileye, an Intel company, who have launched trials to create the first detailed roadside infrastructure dataset of Britain for a new, accurate and customisable location information service.

To support the trials, Northumbrian Water Group has become the first utility company in the UK to join the project. Its vans will be fitted with Mobileye’s automotive camera-based mapping technology.

Clive Surman-Wells, Northumbrian operations solutions manager, who will talk about the trials said: “We’re really excited and proud to be the first utility company to have the opportunity to try this new technology. There are so many benefits that have the potential to really change the game when it comes to helping manage our networks and keep our customers’ water flowing.”

The webinar will explain how the innovative new application of artificial intelligence for asset data capture is:

  • Helping utilities overcome key frustrations with patchy information about the location and health of assets
  • Supporting alignment of above and below ground asset maps
  • Promoting better asset management
  • Safeguarding field workers
  • Promoting fleet efficiency

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