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OVERVIEW

Smart utilities use smart data

Smart grid, smart meters, and greater access to weather data present opportunities in energy and utilities. By storing and processing real-time streams of multi-structured data in a scalable and cost-effective manner, utilities can use next generation technologies such as machine learning to optimize their business and improve the customer experience.

Key Use Cases
  • Customer insights
  • Smart meter analytics
  • Operational efficiency for plants and grids

Customer insights

Gain a complete 360-degree view of your customer and create new opportunities. Marketing, sales, and customer service can all be optimized. By understanding how every individual customers consumption needs are unique, you can deliver the best customer experience and provide recommendations to help reduce costs.

Smart meter analytics

As massive volumes of machine-generated data from smart meters becomes readily available, utilities can use that data to detect patterns in consumption.  Through improved analytics they can optimize energy distribution, making the most efficient use of their resource pool.

Operational efficiency for plants and grids

Advanced analytics and machine learning makes it more efficient to make sense of the vast operational, grid, and seismic data that energy and utilities have to manage, Cloudera provides a scalable hybrid data management and analytics platform that energy and utilities companies can deploy to effectively manage and analyze operational and seismic data to find and maximize energy resources.

Rowan Companies: increasing efficiencies through IoT

Read the case study

TechnipFMC had a need for centralized data to build machine learning models and deliver enterprise data analytics at scale.

Read the case study

Webinar

Reimagining energy and utilities using data, analytics, and AI

Webinar

Oil & gas improves asset profitability, portfolio management, and operations with big data

Video

AutoGrid Energy Internet Platform (EIP)

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