AT&T and IBM unveiled on Tuesday a new way for companies to unlock more value from their data in a simpler way, using AT&T’s IoT solutions and IBM Cloud. The new AT&T IoT analytics capability, a pilot collaboration between the two companies, aims 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.
In 2016, AT&T and IBM announced plans to integrate AT&T Flow Designer with the IBM Watson IoT Platform and IBM Bluemix, IBM’s Cloud Platform. Today, these combined capabilities are now available to enterprise developers, creating an end-to-end cloud experience that enables developers to build, deploy and scale their IoT applications.
The demand for near real-time operations data is fueling the IoT explosion among business customers. The key for business customers, however, is collecting the data from their connected assets, while extracting insights from it and then making near real-time decisions.
With this new service, companies can utilize their own generated IoT data to better predict maintenance and optimization 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. The company will be able to detect anomalies in less time and with more accuracy.
The new service allows the two companies to offer AT&T’s enterprise customers valuable insights from their industrial IoT data by tapping into
AT&T M2X, Flow Designer, Control Center, and other IoT solutions that allow AT&T’s enterprise customers to effectively manage and monitor devices, as well as collect, manage and store data. The IBM Watson IoT portfolio for connecting, building, launching and managing IoT apps and devices, including analytics capabilities such as predictive maintenance that provides insights to improve asset performance.
The IBM Watson Data Platform uses its data ingestion engine with cognitive powered decision making. The IBM Watson Data Platform uncovers critical business insights by providing a collaborative environment where valuable data from machines and devices can be combined with multiple sources of data, including a customer’s own sales and inventory data and publicly available information, such as weather and road conditions. The IBM Machine Learning Service, as part of Watson Data Platform on IBM Cloud, allows AT&T’s enterprise customers to employ machine learning from IBM Watson.
“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 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 utilize their complex data in a meaningful way and deliver insights that can help accelerate their business transformation.”