Industrial equipment rarely fails without warning. It gives signals. The problem is most organizations aren’t set up to catch them in time. AI-powered digital twins change that. By continuously syncing a virtual model of your physical asset with live sensor data, AI agents can monitor performance, detect anomalies, and surface failure signals before a breakdown hits. The result is fewer unplanned outages, lower maintenance costs, assets running closer to their designed capacity.
In our upcoming webinar, we’ll show you what that looks like in practice through a live demo of agentic digital twins built on Microsoft Fabric and Esri ArcGIS, applied to cooling tower optimization.
What Is a Cooling Tower Digital Twin?
A cooling tower digital twin is a virtual model of a physical cooling tower that updates continuously from live sensor data. It mirrors actual operating conditions like temperature, flow rate, pressure, and energy consumption, and feeds that data to AI agents that detect early failure signals before they become costly breakdowns. On Microsoft Fabric, that data is processed at scale. Esri ArcGIS adds the geospatial layer, connecting asset performance to location and environmental context in one workflow.
Industries That Benefit Most from Cooling Tower Digital Twins
Cooling towers are mission-critical infrastructure across manufacturing, data centers, power generation, healthcare, and commercial real estate. In every one of these industries, an unexpected failure does not just affect the cooling system. It stops production floors, triggers SLA breaches, disrupts patient care, and creates immediate safety exposure. The cost of reacting to a failure is always higher than the cost of predicting one.
Sharad Kumar | Director – Digital Transformation at Kanerika
Sharad leads digital transformation at Kanerika, driving enterprise data strategy across AI, ML, big data, governance, and advanced analytics. He manages multi-million dollar portfolios and advises C-suite executives across industries.
Pardeep Singla | Partner Solution Architect at Microsoft
Pardeep Singla is a Digital Cloud Solution Architect at Microsoft with expertise in Microsoft Fabric. He helps organizations design and implement modern cloud and data solutions that drive operational outcomes.
Sarah Battersby | Principal Product Manager at Esri
Sarah is a Principal Product Manager at Esri, leading ArcGIS GeoAnalytics products that bring spatial analysis to big data and cloud workflows. With a PhD in Geography and a background as a Principal Research Scientist at Tableau, she’s dedicated her career to making geospatial data easier and more trustworthy for everyone to use.
Who Should Attend
This webinar is for data leaders, GIS teams, data engineers, BI teams, operations leaders, and enterprise decision-makers who want to turn location-based data into business action.
It is especially relevant for organizations managing distributed assets, facilities, service territories, field operations, routes, environmental data, or region-based performance metrics.
Reserve Your Spot Today
See how Microsoft Fabric and ArcGIS power agentic digital twins that catch cooling tower failures before they happen and turn location data into faster, smarter maintenance decisions.
