Fifty-five percent of utilities say that using AI and IoT in coordination will be crucial for the long-term viability, success and growth of the industry. Operating costs, innovation, data quality, DER integration, and IT/IoT integration are all challenges that Utilities face. Building from a proven technology foundation, SAS® integrates streaming data with artificial intelligence (AI) and visualization so you can get more value from IoT data, whether data is at the edge, in motion or at rest.
Internet of Things (IoT) technology creates new opportunities for utilities to connect with consumers, digitize the grid and transform the business. But opportunities present challenges, such as how to use the influx of streaming data to enhance customer engagement, infrastructure management and service delivery. To build a cost-competitive business model for reliable power generation, distribution and delivery, utilities must improve operational insights from near-real-time data. To do it, many collect raw data from connected infrastructure and devices using Industrial Internet of Things (IIoT) capabilities.
Analysts expect tens of billions of IoT devices by 2025 – and we know that traditional approaches to data management and analytics may not suffice in this new, connected world. Simply collecting data from connected sensors, meters and systems is not enough. Utilities must be able to use analytics from traditional data centers all the way to devices at the edge of the network. From sensors on distributed energy resources (DER) to phasor measurement units, a flexible, integrated visual environment helps utilities access, prepare, model, visualize and deploy diverse IoT data, applying high-frequency data analytics at the source – whether data is in motion, at rest or anywhere in between.
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