Kx Insights: Machine learning and the value of historical data
2 Aug 2018
Data is being generated at a faster rate now than ever before. IDC has predicted that in 2025, there will be 163 zettabytes of data generated each year—a massive increase from the 16.1 zettabytes created in 2016. These high rates of data generation are partially an outcome of the multitude of sensors found on Internet of Things (IoT) devices, the majority of which are capable of recording data many times per second. IHS estimates that the number of IoT devices in use will increase from 15.4 billion devices in 2015 to 75.4 billion in 2025, indicating that these immense rates of data generation will continue to grow even higher in the years to come.
MIT Motorsports fastest electric vehicle in Formula SAE
28 Jun 2018
In June 2018, a student-led team from the Massachusetts Institute of Technology (MIT) participated in the annual international Formula SAE Electric car competition. The team used Kx technology for tracking and analyzing the streaming data coming from the on-board sensors, recording each value in real-time and visualizing performance on Kx Dashboards.
Kx Race Weekend, sensor analytics at speed
22 Jun 2018
From the Circuit Paul Ricard in France to the Lincoln Airpark in Nebraska to the Misano World Circuit in Italy, this weekend Kx is part of car races around the world -- a sign of how Kx technology is increasingly being recognized by competitive automotive teams for giving them a critical edge.
Sensors Working Overtime
11 Jan 2018
Kx recently became an official team supplier to Aston Martin Red Bull Racing who is using Kx technology to handle mission-critical aerodynamic data. Below is an article published by Aston Martin Red Bull Racing on 11 January 2018 which explains the importance of this aero data, and working with Kx technology, for improving car performance for the F1 Team. It outlines how Kx’s in-memory, time series database software, capable of handling millions of events and measurements every second, provides a platform for analysing data on the RB14 and its successors.