Sweating wastewater data and systems? How to make better decisions faster

James Hale looks at how machine learning and artificial intelligence are best implemented into water services and discusses how our own innovative data analysis tool, FlowBot, can achieve quicker, accurate data analysis.

AMP7 will deliver significant financial and operational challenges for Water Companies. With £51 billion to spend following Ofwat’s Final Determinations and a series of challenging performance commitments, the need to make the most of what we know and how we use it to drive performance improvement will be a critical success factor in the coming years.

Alongside these performance commitments, we are also at a point where the wastewater sector is embracing the ‘big data’ challenge, moving into the cloud and starting to adopt Machine Learning (ML) and Artificial Intelligence (AI) approaches to support activities and decision making.

James Hale, RPS Wastewater Technical Director (Services), looks at how machine learning and artificial intelligence are best implemented into the water industry and discusses how our own innovative data analysis tool, FlowBot, can achieve quicker, accurate data analysis.

This article was first published in the Institute of Water Magazine, Issue 205  

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The efficiency challenge facing Water Companies in AMP7 means that all processes need to be as lean as possible and focused on delivering benefit. The use of new technology and innovative approaches will be key to achieving this.

James Hale

Technical Director

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