New IoT Solution Enhances Predictive Maintenance For Industry 4.0

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The new Wireless Industrial Asset Insights IoT solution helps operations managers to detect and diagnose faults in advance

 Arrow Electronics, IBM and National Instruments have teamed up to offer a predictive maintenance suite that enables data-driven operations in factories, oil and gas plants, mines and other rugged environments.

The new Wireless Industrial Asset Insights IoT solution enables industrial companies to manage performance, quality and availability through predictive maintenance.

Integrating NI’s advanced industrial monitoring devices with IBM’s analytics/AI and asset management software, the IoT solution helps operations managers and business decision makers to detect and diagnose faults in advance and predict remaining service life.

“This unique and powerful combination of NI and IBM products creates a solution that will change the way operations are managed,” said Aiden Mitchell, vice president and general manager of IoT at Arrow.

“Operations teams can make better business decisions regarding operations availability and risk, to help them improve the company bottom line from both opex and capex perspectives,” he added.

Improving operations by better predicting failures

The full solution can be rapidly installed in operational scenarios thanks to the engineering that ensures compatibility and repeatable integration, as well as access to Arrow’s large ecosystem of pre-qualified services and IBM implementation partners.

“We are helping organizations bring powerful analytics and AI to the asset management process,” said Adriana Robinson, vice president, IBM Watson IoT.

“This will enable customers to make immediate insight-driven decisions to improve operations and proactively manage asset reliability,” she noted.

The solution is available for purchase through Arrow, Arrow business partners and IBM.

Longjam Dineshwori

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