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Energy and Utilities

Traditional business models for the utilities industry are losing relevance. The energy production and delivery industry is placing many more smart sensors, and meters, along production, transmission and distribution systems to get granular real-time data about the current state of faults and load. Powerful analytics on this data, when combined with other sources such as Outage and Distribution Management Systems (OMS/DMS), weather data, 3rd-party event monitoring systems and Meter Data Management Systems (MDMS) can help utilities take necessary actions to avoid electric grid failures, to improve security and to optimize capacity and redundancy. IBM Stream Computing enables this predictive analytics allowing energy and utility providers to capture and analyze data - all the time, just in time.

Results: optimize energy usage and reduce outages.

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CenterPoint Energy

CenterPoint Energy saves 700,000 gallons of fuel and lowers cost for consumers by $24M