Machine Learning, Data Analytics Top ITRS' IT Roadmap in 2016

Geneos is a monitoring application, while Insights looks to move ITRS into the real-time data analytics space with a big data component. Inside Market Data's Joanne Faulkner wrote about the release in early July.

Insights allows ITRS to move past the operational segment into the internet of things (IoT), artificial intelligence (AI) and machine learning, Ruiz Ferrer says. There is fluent communication between the two products, as Geneos allows analysis to be used very easily with Insights.

Because of the new product, Ruiz-Ferrer says, ITRS can actually provide users with price comparisons with counterparties in real-time.

"We were talking with one of our exchange customers in the US, presenting this new technology, they immediately saw the value of Insights moving outside of the pure monitoring or APM (application performance monitoring) space into a more front-office type of usage."

Smart Customer

Over the years clients' understanding of data has become more sophisticated as their hunger for data has increased, in addition to their understanding of the capacity of their business and IT infrastructure, Ruiz-Ferrer says.

"What has happened is that over the years our clients have been asking us for a big data solution that operates like Geneos in a real-time fashion, that is as information happens to develop it can perform analytics, for example, from sentiment analysis to behavioral analysis," Ruiz-Ferrer says.

"Instead of clients asking questions like, 'Is my infrastructure running okay?' that they used to, clients are now asking, 'Is my counterparty providing the same kind of patterns?' " Ruiz-Ferrer adds.

Ruiz-Ferrer and his team have spent the past three years developing ITRS Insights. The product has been tested by several clients in the US and Europe, as well as two clients in Asia.

Shifting Trends

Companies used to operating in the big data space are starting to incorporate their offerings into the APM space, Ruiz-Ferrer says.

"The landscape is changing from our competitor's perspective in the APM space to the point that we should see more and more data-intensive solutions. That escape from the pure operational side and move more into the relationship between operations and business efficiency," Ruiz-Ferrer says.

"This is the land that some analysts have called the IT operations analytics (ITOA) space," Ruiz-Ferrer says.

APM monitoring companies will need to adapt quickly and start incorporating really sophisticated systems on the architect of services to provide answers in real-time, as they are beginning to see more competitors from the machine-learning side.

In 2016, ITRS is extending the amount of algorithms, looking at response times and circumstance scenarios and how they provide for their customers from a machine-learning perspective.

"The requirement for providing answers to the huge streams of data is going to be ever-so important," Ruiz-Ferrer says.