IBM Opens Watson IoT Headquarters in Munich

By Darryl K. Taft  |  Posted 2015-12-15 Print this article Print
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IBM opened its new Watson Internet of Things headquarters in Germany, along with new Watson API services for IoT and eight new IoT centers worldwide.

IBM today announced the opening of its global headquarters for Watson Internet of Things (IoT) in Munich.

In addition, Big Blue launched a series of new offerings, capabilities and ecosystem partners to extend the power of cognitive computing to the billions of connected devices, sensors and systems that comprise the IoT. These new offerings will be available through the IBM Watson IoT Cloud, the company’s global platform for IoT business and developers.

The Munich facility will serve as the global headquarters for IBM’s new Watson IoT unit, as well as its first European Watson innovation super center. The campus environment will bring together 1,000 IBM developers, consultants, researchers and designers and serve as an innovation lab for data scientists, engineers and programmers building a new class of connected solutions at the intersection of cognitive computing and the IoT. It represents IBM’s largest investment in Europe in more than two decades, the company said.

“The Internet of Things will soon be the largest single source of data on the planet, yet almost 90 percent of that data is never acted upon,” said Harriet Green, general manager of Watson IoT and Education at IBM, in a statement. “With its unique abilities to sense, reason and learn, Watson opens the door for enterprises, governments and individuals to finally harness this real-time data, compare it with historical data sets and deep reservoirs of accumulated knowledge, and then find unexpected correlations that generate new insights to benefit business and society alike.”

IBM said it also will deliver Watson APIs and services on the Watson IoT Cloud Platform to accelerate the development of cognitive IoT solutions and services, helping enterprises make sense of the growing volume and variety of data in a physical world that is rapidly becoming digitized.

IBM also announced the opening of eight new Watson IoT Client Experience Centers across Asia, Europe and the Americas. Locations include Beijing; Boeblingen, Germany; Sao Paulo; Seoul; Tokyo, and Massachusetts, North Carolina, and Texas in United States. These centers provide clients and partners access to technology, tools and talent needed to develop and create new products and services using cognitive intelligence delivered through the Watson IoT Cloud Platform.

Siemens Building Technologies, a provider of energy-efficient and environmentally friendly buildings and infrastructures, announced that it is teaming with IBM on the digitalization of buildings. Siemens is working to bring advanced analytics capabilities together with IBM’s IoT solutions to advance their Navigator platform for energy management and sustainability.

"By bringing asset management and analytics together with a deep technical understanding of how buildings perform, Siemens will make customers' building operations more reliable, cost-optimized and sustainable,” said Matthias Rebellius, CEO of Siemens Building Technologies, in a statement.

Moreover, IBM is bringing the power of cognitive analytics to the IoT by making four families of Watson API services available as part of a new IBM Watson IoT Analytics offering.

The four new API services include the Natural Language Processing (NLP) API Family, which enables users to interact with systems and devices using simple, human language. Natural Language Processing helps solutions understand the intent of human language by correlating it with other sources of data to put it into context in specific situations. For example, a technician working on a machine might notice an unusual vibration. He can ask the system “What is causing that vibration?” Using NLP and other sensor data, the system will automatically link words to meaning and intent, determine the machine he is referencing, and correlate recent maintenance to identify the most likely source of the vibration and then recommend an action to reduce it.



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