Latest Cisco-IBM Deal Brings Watson to the Edge

“We’re trying to reduce the unnecessary transmission of data to the cloud.”

legendary IBM Watson system is well known as a platform that gathers archived data analysis to give an answer that might insoluble problems or questions. A new initiative between Cisco and the IO Watson, however, is likely to lead to a real-time view of any and all terminals.

the collaboration of IBM Cisco is designed to enable organizations in remote areas harness the combined power of analysis capabilities edge the IO Watson and Cisco to understand more deeply and act on critical data on the network edge.

Cisco, through their offers and initiatives supporting the "fog of calculation" is a promoter of the implementation of intelligence at the edge, or anywhere else along the spectrum of connections between devices and centralized servers. "We Cisco combines advanced capabilities with Watson so that we can make intelligent decisions on the edge of the network, the data is valuable," says Mike Flannagan, vice president of Cisco data and analysis.

Cisco provides the "ability to perform advanced analysis of the data flow, and data direction - look aggregates and summaries, such as time series, either one minute, five minutes or an hour on average," he says Flannagan. with this partnership, "Watson offer the opportunity to distribute a small piece of code on its edge, to tell our software data is interesting for them."

The ability to move more analytical processing on board is critical, especially for a real-time based on the IO and other distributed data. But for companies that do not have easy access to bandwidth connectivity, these capabilities are sometimes out of reach or take too long. intend to Cisco and IBM to provide such operational capacity on the edge of the computer, such as oil rigs, factories, transport companies and mines, where time is of the essence, but the bandwidth is often insufficient networks.

For example, workers in remote environments now be able to better monitor the health and behavior of critical machinery and plan more accurately for upgrades and maintenance of the necessary equipment. For example, illustrates Flannagan, "A machine operator may need to take readings for things like vibration, temperature and pressure. If there is a problem that will cause a security problem, I have to find that now, not three days from now ".

In addition, it may be too costly and need to be constantly moving all data generated in a central location for analysis. "You may have to make decisions at the point or close to the point of production," says Flannagan. "You have to decide how and what to do with it."

In general, companies using IBM Watson "have sent all the raw data to the cloud," he says. . Switches routers, bandwidth, cloud capacity - - "Then Watson would have to decide once was there as was a large number of irrelevant data to the cloud, with all necessary infrastructure to do so is sent then throw more if in the end, has not since been relevant to the problem you are trying to solve. We try to reduce unnecessary transmission of data to the cloud. "

The solution is marketed and sold as a whole and include cognitive IO Platform Watson and a real vision of time with IBM analytics continuous Cisco. This will allow real-time analysis to be performed on the edge and data collection for long-term analysis in the cloud.