IoT Sensor Data Analytics Driving Utility Innovation
5 Feb 2019
The utility industry today is upgrading their IoT sensor data analytics systems because they are collecting more usable data which is driving business transformation. Real-time analytics of streaming data, delivered at higher frequencies and higher granularity, makes forecasting and other business operations more accurate with Kx for Sensors.
Kx Insights: How Prosumers are driving Big Data Innovation at Utilities
13 Jun 2018
Prosumers in the utility sector, who both produce and consume electricity, are increasingly influencing how utilities are interacting with rate payers. These clients utilize distributed renewable energy resources to produce energy and actively manage their own energy use. This blog discusses the challenges and benefits of the connected grid
Kx Insights: IIoT for Predictive Maintenance and Big Data
9 Jan 2018
IIoT for predictive maintenance enables more extensive monitoring of equipment and processes at a much lower cost than traditional methods and delivers actionable warnings to prevent or minimize the consequences of an impending failure. Where IIoT for predictive maintenance is deployed in a well-designed program using Reliability Centered Maintenance (RCM) it will reduce surprise outages, lost production, extensive repairs, secondary damage and increase safety.
Eight Utility Industry Trends in 2017
11 Jan 2017
2017 is shaping up to be a year of change for the electric utility industry as the adoption of smart grid and customer data management technologies accelerates. Based on dozens of conversations with utility market players, Przemek Tomczak explains what the industry's current primary focus is and the role technologies like those powered by kdb+ can play.
Utility industry moving toward real-time data platforms
6 Oct 2016
A technology transformation is starting to take hold in the energy system. Utilities, service providers and customers are moving toward interacting with their data in real time. As a result, more sophisticated data analytics are increasingly required.