Is your planning team focused on removing the highest-risk assets from your network, but with budget constraints and other objectives like replacing lead service lines? Find out how your peers at Denver Water are using machine learning to assess asset risk and algorithms to optimize their approach to renewal planning and LSL replacements together.

Is your asset management and planning team struggling to balance investment between risk reduction and your operational performance needs? Find out how your peers at WSSC have integrated hydraulic performance along with risk and other priorities into their maintenance and renewal planning using optimization.

Looking at green infrastructure solutions for I&I reduction and not sure where to invest for the best performance outcomes? Find out how the City of Atlanta Department of Watershed Management has used optimization to identify the most cost-effective and high-performing green infrastructure solutions for their long-term control plans.

Are you weighing decisions around major infrastructure investments and operational changes to achieve a high-performing long-term control plan (LTCP) with a constrained budget and competing priorities? Find out how your peers at the city of Omaha were able to explore over 100,000 different LTCPs to arrive at the most cost-effective and high-performing approach for their city.

Is aging infrastructure forcing you to invest in major new transmission solutions in your network, and you’re looking for the best approach? Find out how your peers at the Trinity River Authority have been using optimization to explore a broader range of options before identifying the most budget-efficient and performance-effective.

Are you looking to improve your collections system and stormwater management approaches to reduce Combined Sewer Overflows (CSO) while coping with increased demand from growth or changing storm severity? Find out how your peers at the NYC DEP used an optimization approach to combine infrastructure investments with operational changes to find the most cost-effective and high-performing solutions.

Are you working on a long- or medium-term water infrastructure master plan with uncertainty around growth and demand needs as well as changing supply options? Find out how your peers at the City of Henderson used optimization to balance future demand and supply uncertainty with current performance and infrastructure needs.

Are you looking for a way to transform data visibility and operational decision-making in your treatment plants? Check out how the City of El Paso, TX are using Aquadvanced Water Supply Energy Monitoring module to enable them to monitor and analyze performance across more than 600 energy-consuming assets within their treatment plants, allowing for rapid identification of changes and optimization opportunities.

Looking to improve your municipality’s performance beyond regulatory requirements? Find out how your peers at Halton Region used eRIS to streamline reporting in order to better meet their goals of higher water quality.

Are you facing a disjointed data landscape, making it difficult for your team to make informed decisions in real time? Find out how your peers at Lake Worth Drainage District seamlessly integrated scattered data into a unified platform, enabling strategic decision-making for entire basins.

How do you ensure a safe, reliable drinking water supply while balancing licensing, quality, cost, and asset constraints across and entire region? Discover how Anglian Water partnered with SUEZ to trial an automated, scenario-based planning tool designed to tackle one of the most complex challenges in water production.

Are you unsure how to deal with rising energy costs while bolstering operational efficiency? See how the City of El Paso, TX transformed its operations with Aquadvanced Water Supply and the measurable results they achieved.