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AT&T unveils new IoT analytics solution

Service will offer enterprise customers capabilities such as predictive maintenance providing insights to improve asset performance

 

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AT&T’s IoT analytics solutions can ingest data from wells to help predict malfunctions
AT&T’s IoT analytics solutions can ingest data from wells to help predict malfunctions

AT&T and IBM have introduced a new Internet of Things (IoT) analytics service to help clients drive actionable insights from data.

 

The aim of the pilot collaboration between the companies is to help AT&T’s enterprise customers transform their industrial IoT data into analytic insights so they can take immediate action to improve business operations.

 

Enterprise customers will be able to tap into M2X, Flow Designer and Control Centre with IBM’s Watson data platform running on the cloud to manage and monitor devices, as well as collect, manage and store data.

 

Meanwhile, the IBM Watson IoT portfolio will allow customers to build, launch and manage IoT apps and devices, while offering analytics capabilities such as predictive maintenance that provides insights to improve asset performance.

 

“We have more than 30 million connected devices on our network today and that number continues to grow – primarily driven by enterprise adoption,” said Chris Penrose, president, IoT solutions, AT&T.

 

“Businesses are eager for actionable data insights from their connected devices that help improve their processes and take the guesswork out of decision-making. Integrating the IBM Watson data platform into our IoT capabilities will be huge for our enterprise customers.”

 

With this new service, companies can utilise their own generated IoT data to better predict maintenance and optimisation for their machines.

 

For example, an oil and gas company wants to detect anomalous events within its wells. By using AT&T’s IoT network and the IBM Watson data platform, AT&T’s IoT analytics solutions will ingest data from hundreds of wells, creating the models necessary with appropriate machine learning libraries and open-source technology to help predict potential failures or machine malfunctions.

 

As a result, the company will be able to detect anomalies in less time and with more accuracy.

 

“With the tremendous growth in IoT adoption comes the need for more tools and services that will unlock the value in the IoT data being generated,” Steve Canepa, general manager, telecommunications, media & entertainment, IBM.

 

“As part of our continued collaboration to drive innovation, IBM is working with AT&T to combine our strengths and expertise to combine analytics solutions on the IBM Cloud that will enable AT&T’s enterprise customers to utilise their complex data in a meaningful way and deliver insights that can help accelerate their business transformation.”

 

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