Based in Los Angeles, California, Alejandro “Alex” Rojas has served as chief operating and executive officer with the Central Basin Municipal Water District since 2020, guiding cross-functional team efforts related to revenue diversification and pricing strategy optimization. These efforts boosted sales by nearly one third. Alex Rojas’ responsibilities include serving as district treasurer. He also informs investment and debt servicing strategies. He has increased cash reserves for the municipal water district to more than $20 million. From 2017 to 2020, Alejandro Rojas engaged as chief operations officer of the K12 educational software startup Siembra Mobile, Inc.. Based in Los Angeles, he oversaw product development, user interface, and experience design enhancements. These boosted the company’s user base by 100 percent within a single year. Mr. Rojas’ professional background includes four years with the Bassett Unified School District in La Puente, California, where he served as an educator and administrator. He oversaw $30 million in infrastructure upgrades across the district, in areas such as curriculum development and instructional technologies. His efforts brought significant improvements to Bassett Unified School District’s operational efficiency and student achievement tracking capacities.
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Water Resource Management Has Become More Efficient and Sustainable
The Environmental Protection Agency released a report in 2018 highlighting the urgency in upgrading the country’s water management infrastructure, specifically drinking water infrastructure. This upgrade is no quick fix, requiring an investment of over $500 million to take care of work spanning 20 years. Seven years later, in 2025, municipalities have AI, ML, and data analytics tools at their disposal in making water resource management efficient and sustainable.
Presently, communities nationwide deal with various obstacles in improving water resource management. For example, in the Central Basin, California, this municipality faces sustainability challenges. Annually, the region pumps nearly 300,000 acre-feet of water from Central and West Coast Basins, placing pressure on water resources. In addition, the area deals with seawater infiltration into freshwater resources, and San Gabriel Basin water contains contaminants higher than state-mandated levels, among other issues. The region imports an additional 400,000 acre-feet of water to meet demands.
Outside of issues in this one district, some municipalities have integrated data into innovative city initiatives to improve resource management. Data analytics enable municipalities to gather information through sensors, smart meters, water stations, and customer information that are attached to machinery. Information generated from a water resource platform provides managers with data related to how much water is used throughout the day, utility performance, and environmental impacts. In many cases, managers receive this information in real time.
These platforms also enable water resource management organizations to use predictive applications. Managers can use information regarding performance, weather patterns, and usage to address issues before they happen. Much of this happens through machine learning algorithms that identify weak areas in the water utility, which provide maintenance teams the chance to conduct maintenance before anything happens.
Asset performance management (APM) and digital twins are other tools that can assist managers who oversee water and dam operations. Outside of water resource management, APM platforms provide organizations with predictive and maintenance tools to prevent damage to machinery used and to reduce downtime, which in the past was between four and ten times more expensive than it is today.
Ultimately, these platforms transform water maintenance resources from reactive to proactive maintenance. APM enables managers to improve key performance indicators related to equipment reliability, availability, and maintainability. Moreover, APM 4.0 was developed from this platform for organizations to protect their machinery and prevent unplanned failures in real time.
In addition to APM, digital twins have empowered organizations to improve their operations. A digital twin uses a hybrid model of a real system to create a digital copy of the organization. Managers use the system to create hypothetical scenarios. From these scenarios, managers can derive insights into operations in the real system.
Together, APM 4.0 and digital twins have the potential to revolutionize water resource operations by creating scenarios based on information generated by APM 4.0. A December 2024 Water Power Magazine article reported that APM 4.0 can reduce maintenance costs by 20-30 percent and downtime by 20-50 percent.
In the case of dams and water management, these tools culminate in improved reliability of assets, such as turbines, pumps, and control systems. APM 4.0 and digital twins have also enabled managers to predict asset degradation, which decreases unplanned downtime and costly repairs. Conversely, it has improved operational efficiency and reduced environmental impacts through improved water resource management and efficient energy consumption. In the case of ABB, a water resource management platform, it has increased productivity by more than 8 percent, extended the life of water utility equipment by more than 25 percent, and has the potential to reduce maintenance costs by more than 15 percent.
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