Industry Trends
Artificial Intelligence in the Water Treatment Industry

From Ahlam Rais 5 min Reading Time

Related Vendors

The use of Artificial Intelligence in the wastewater and water treatment industry is picking up pace due to the numerous advantages of this technology. Ahlam Rais connects with two major players from the sector to understand the benefits, challenges and how the AI technology is gradually transforming wastewater and water treatment plants.

AI as a technology is constantly evolving and its role in transforming the wastewater and water treatment industry is huge. (Source: ©  Malika - stock.adobe.com)
AI as a technology is constantly evolving and its role in transforming the wastewater and water treatment industry is huge.
(Source: © Malika - stock.adobe.com)

Almost every industry has witnessed the benefits of the Artificial Intelligence (AI) technology and the wastewater and water treatment industry is no different. Optimizing the treatment process by automating processes and analyzing data in real time across wastewater and water treatment plants is a core advantage of this technology. It also helps to reduce operational costs, lower energy consumption, and enables companies to adhere to strict water quality regulations.

Commenting on the benefits of the AI technology, Claire Mathieu, Head of Data & IA, at Suez, a firm specializing in water and waste management sectors, shares, “AI addresses three structural challenges in operating a water treatment plant. First, it improves data reliability: bad measurements lead to bad decisions. By monitoring sensors and correcting raw data, it cleans up the raw input that underpins all operational control.” She continues, “Second, it models what physics alone cannot fully describe: complex, non-linear phenomena that are sometimes impossible to measure directly - such as nitrous oxide (N₂O) emissions. Finally, it arbitrates between conflicting objectives - water quality, energy consumption, chemicals usage, emissions, and equipment lifespan - to determine the optimal scenario in real time.”