INTELLIGENT BRANDS // Software for Business
Teradata introduces IoT
project accelerators
T
eradata, an analytics solutions
company, has announced
four powerful accelerators
that speed up the transformation
of Internet of Things (IoT) data to
actionable insight. Teradata “Analytics
of Things Accelerators” (AoTAs) are
derived from field engagements with
IoT companies in manufacturing,
transportation, mining, energy and
utilities. The accelerators are comprised
of technology-agnostic intellectual
property (IP) and professional
services, applied approaches proven
to reduce implementation cost and
risk, accelerate time to value, and drive
business returns far greater than the
initial investments.
Teradata AoTAs help organisations
determine what sensor data to trust
and keep, while choosing types
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and combinations of analytical
techniques to best address specific
business questions. The accelerators
help organisations move from costly
experimental projects to enterpriseclass solutions scaling across connected
devices and assets that result in
positive business impact. Specifically,
the new Teradata AoTAs include:
1) Condition-Based Maintenance
Accelerator, w hich continuously
monitors and analyses asset data from
remote devices or equipment at scale
to increase availability, improve safety,
and reduce costs;
2) Manufacturing Performance
Optimisation Accelerator, which
identifies complex production problems
across equipment performance and
availability for quick corrective action;
3) Sensor Data Qualification
Accelerator, which automates
recommendations on the optimal
frequency of sensor readings based
on relevant anomaly patterns;
4) Visual Anomaly Prospector
Accelerator, which 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
www.intelligentcio.com