Cognitive Scale Simplifies Development of Cognitive Computing Applications

Cognitive computing is defined by the development of new classes of applications that leverage advanced artificial intelligence to make better decisions. The challenge developers now face is finding ways to practically build those applications in a way that delivers value to the business in a couple of weeks versus years of development effort. Looking to address that issue, Cognitive Scale today launched a namesake cloud platform that exposes APIs to make developing these new classes of applications much simpler.

Cognitive Scale CTO Matt Sanchez says the Cognitive Scale cloud consists of a data, analytics and application fabrics that expose services invoked by APIs. The first three of those services provided by Cognitive Scale are search, insights and commerce.

The end goal, says Sanchez, is to combine an analytic engine specifically designed for cognitive applications with other cognitive cloud services, such as IBM Watson, to allow developers to build cognitive computing applications at a much higher level of abstraction than they typically can today.

As a result, Sanchez says organizations can use Cognitive Scale to leverage services such as IBM Bluemix, Amazon Web Services and Google Cloud to create a cognitive cloud in 10 seconds and deliver their first cognitive application in 10 hours. That application then can be loaded with data to create a fully functional cognitive computing application in a little over a week.

The Cognitive Scale platform is already being used alongside IBM Watson services in the cloud to drive WayBlazer, a new online travel service that makes use of cognitive computing services not only to book travel, but also to make suggestions about places to go and stay based on a person’s preferences.

Like WayBlazer, most of the cognitive computing applications being built are leveraging artificial intelligence capabilities to better correlate the relationship between different sets of data over time. As such, these systems remember the relationship between data sets in a way that allows them to make suggestions or provide answers to classes of complex queries that were not previously possible.

In the case of Cognitive Scale, the company will provide developers with an SDK that will make invoking various cognitive services in the cloud much simpler.

The biggest challenge with cognitive computing, notes Sanchez, is that most businesses today don’t have the patience to make long-term investments in leading-edge technologies. The Cognitive Scale approach to developing cognitive applications is designed to take that issue off the table by making it possible to show the business the power of these applications in a way that turns advanced computing science theory into a new business reality in a matter of days.

Michael Vizard

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