IBM and Cisco announce trailblazing collaboration

IBM and Cisco have announced the next stage in the two companies long-term collaboration project – combining the former’s IoT Cognitive Computing and the latter’s Edge Analytics solution to deliver greater value in Hyper-Distributed environments.

[easy-tweet tweet=”The joint solution offered by IBM and Cisco will enable businesses to use all important data” hashtags=”IoT, IBM”]

Hyper-Distributed environments occur when vast quantities of data are being distributed outside of the data centre – making control a complicated issue. Connecting the wide variety of data sources together allows businesses to gain access to more detailed analytics and generate more relevant insights.

The joint solution being offered by IBM and Cisco will enable businesses to use all the data that is important to them. The first of its kind approach enables IoT analytics at the edge of the network and collects data for longer term analysis in the cloud. Cisco brings edge and fog computing processing solutions, as well as edge performance analytics, to the partnership, while IBM can deliver cognitive & predictive analytics, machine learning and end-to-end security as part of its Watson IoT platform.

Already there are a number of industry use cases that demonstrate the potential of the IBM-Cisco partnership. Electronics, Travel, Real Estate and a number of Construction sectors stand to benefit from better use of industry data by increasing productivity and reducing operation costs.

Mike Flannagan, Vice President and General Manager for Cisco’s Data & Analytics Group explained what kind of benefits the partnership with IBM could deliver.

[easy-tweet tweet=”There are many industry use cases that could benefit from the IBM-Cisco partnership” hashtags=”IBM, Watson, IoT”]

“Now, industrial organisations and those in remote locations with intermittent network connectivity can take advantage of the cloud, cognitive computing and network intelligence, working together – analysing sensor reading at the point of collection, eliminating the need to transfer all, or unessential data to the cloud,” he said. “The combination of these technical capabilities provides the flexibility of processing and analysing data everywhere, at the edge and in the cloud, so it can be leveraged in time and context as the business needs to use it.”

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