Smart grid, smart meters, and greater access to various sensors and environment data present a fantastic opportunity and massive challenge in the utilities space. 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.
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.
Nokia is looking for fresh ideas on how the collected smart grid data can be used to gain a complete 360-degree view of utilities customer.
The applications can be applicable for multiple domains (electricity, water, gas, central heating) and multiple actors in the space: generation, TSO, DSO, traders, etc.
Inside the organization marketing, sales, and customer service can all be optimized. By understanding how individual customers consumption needs are unique, your application should be able to help reduce costs (improve operational efficiency) and to provide the best customer experience.
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