Persistent Systems and IBM Partner for IoT Integration


Persistent will dedicate over 1,000 engineers to the IBM Watson IoT Platform and continuous engineering services. One use case: preemptive maintenance.

Persistent Systems announced in a March 22 release that it has teamed with IBM to provide its continuous engineering technology to IBM’s Watson IoT platform and IBM’s own continuing engineering solutions.

Persistent said the collaboration will speed engineering iteration and add new specialized consulting services to Watson.  According to EWeek, companies such as Whirlpool use IBM and Persistent’s solutions to connect their smart household appliances to the cloud where predictive analytics are applied to alert the company about potential issues such as the wearing out of key parts. That information can then be passed on to the consumer so repairs can be scheduled — a use case known as predictive or preemptive maintenance.

“Through continuous engineering, we can help customers more quickly adapt to the huge amounts of data available to make strategic decisions and innovate more seamlessly. From improving the customer experience and offering new services to boosting operational performance, continuous engineering is key to the success of IoT,” said Chris O’Connor, general manager, IBM Watson IoT Offerings, in the announcement.

Persistent will dedicate over 1,000 of its engineers to the IBM Watson IoT Platform, said the company’s CEO and founder, Anand Deshpande. The new collaboration will help engineers grapple with the massive amounts of data the IoT generates and integrate it into product development. IBM’s Continuous Engineering Solutions, which Persistent will also contribute to, are designed to help companies create smart, connected devices while controlling cost and ensuring high quality, the company stated.

Related: Predictive maintenance archives

Want more? Check out our most-read content:

Intelligent Business Operations: White Paper
7 Essential Elements in a Real-Time Streaming Analytics Platform
Fog Computing: A Reference Architecture
Why Edge Computing Is Here to Stay: Five Use Cases
A Business Intelligence Strategy for Real-Time Analytics
Why IoT Edge Computing Is Crucial

Liked this article? Share it with your colleagues!

Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

Leave a Reply

Your email address will not be published. Required fields are marked *