IoT accelerators focus on deployment and maintenance
ATLANTA–Teradata highlighted the company’s late August release of four accelerators built to speed up the transformation of IoT data to actionable insight during its PARTNERS 2016 conference. The company’s “Analytics of Things Accelerators” (AoTAs) were created from successful case studies between Teradata and leading companies in manufacturing, transportation, mining, energy and utilities.
“Accelerators use analytics from proven pieces of code, raising the question, why start from a blank sheet of paper?” said Cheryl Wiebe, practice lead, analytics of things at Think Big in an interview with Industrial IoT 5G. “In a factory, machines have a reliability cycle, and you can predict when a machine will fail. The accelerators reduce the time it takes to get a predictive system like that up and running from four to six months down to around six to eight weeks.”
The accelerators are comprised of technology-agnostic intellectual property (IP) and professional services, applied approaches that reduce implementation cost and risk, accelerate time to value and drive business returns beyond that of initial investments, according to Teradata.
“Teradata AoTAs are already addressing and resolving $100 million-dollar problems for manufacturers of vehicles, equipment, oil and gas systems, and consumer goods,” said Oliver Ratzesberger, executive vice president and chief product officer at Teradata. “These challenges represent billion-dollar budgets for each company, to be clear on the scale of business value addressed by AoTA. For example, our AoTAs have increased overall equipment effectiveness as much as 85 percent, while also improving predictability and asset availability. We are seeing a lot of excitement around our Accelerators, because the return on investment is transformational in scope and compelling in business impact.”
According to Teradata, its AoTAs help organizations determine what sensor data to trust and keep, while choosing types and combinations of analytical techniques to best address specific business questions. The accelerators help organizations move from costly experimental projects to solutions that scale across thousands of connected devices and assets that result in continuous positive business impact. Specifically, the new Teradata AoTAs include:
1) Condition-Based Maintenance Accelerator: continuously monitors and analyzes asset data from remote devices or equipment at scale to increase availability, improve safety and reduce costs;
2) Manufacturing Performance Optimization Accelerator: identifies complex production problems across equipment performance and availability for quick corrective action;
3) Sensor Data Qualification Accelerator: automates recommendations on the optimal frequency of sensor readings based on relevant anomaly patterns;
4) Visual Anomaly Prospector Accelerator: mines large amounts of multidimensional time series (MTS) data from remotely monitored equipment and devices, and visually helps an end user discover anomaly patterns that frequently precede a key event.
“To improve Caterpillar’s customers’ total cost of ownership, we now have in place engine sensor feeds that show where and when remote engines need intervention, and we can predict failures across the fleet, which allows for forecasting replacement part inventory needs and recommending proactive maintenance tasks,” said Scott Ulrich, senior engineering team leader of large power systems division at Caterpillar. “Projects like these are leading us to enable new service models, and revenue streams from new types of service-level agreements and specialized monitoring and intervention processes.”
Forecasts project 21 billion connected “things” in the digital universe by 2020. With data volumes generated by the IoT already dwarfing data waves from social media, information leaders must begin now to identify the requirements necessary to support adoption and implementation of IoT capabilities, according to Terdata. Along with establishing requirements, they must also develop strategies, processes and execution plans to ensure that data is optimized to deliver increasing ROI.
Teradata “Analytics of Things Accelerators” are available now.
