Teradata launches IP-driven IoT analytics
Ohio-based analytics solutions company Teradata has launched four new accelerators to speed up analytics of IoT data. The technology, known as Analytics of Things Accelerators (AoTAs), are derived from the company's field engagements at major IoT companies in the fields of transportation, manufacturing, energy, mining and utilities.
The accelerators feature technology-agnostic intellectual property (IP) and professional services, as well as applied approaches to reduce IoT implementation risks and cost, accelerate time-to-value and drive larger business returns.
Organisations can use the AoTAs to identify sensor data to keep and trust, and choose the combination and types of analytical techniques that best suit their business requirements. They can move from experimental projects to enterprise-level solutions that scale up to thousands of assets and connected devices.
The new AoTAs are focused around condition-based maintenance, manufacturing performance optimisation, sensor data qualification, and visual anomalies.
The condition-based maintenance accelerator continuously analyses remote device data at scale to increase safety and availability and reduce costs. The manufacturing performance optimisation accelerator identifies production problems in equipment performance, and availability for corrective action. The sensor data qualification accelerator automates recommendations on optimal sensor reading frequency, while the visual anomaly prospector accelerator mines multidimensional time series data and helps discover anomalies that could precede a bigger event.
Interested in hearing industry leaders discuss subjects like this and sharing their IoT use-cases? Attend the IoT Tech Expo World Series events with upcoming shows in Silicon Valley, London and Amsterdam to learn more.
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