Artificial intelligence is increasingly present in the news, but its inner workings largely remain a mystery. The obfuscation of artificial intelligence must be alleviated as soon as possible in order to promote its awareness and education, according to Rajeev Dutt (pictured), chief executive officer of DimensionalMechanics Inc., a provider of cloud-based AI applications.

“We have an AI that we call the oracle,” Dutt said. “The oracle has a vast knowledge base, has a lot of additional machine learning components and things like that that essentially allow it to adapt and learn based on the kind of problem you’re trying to solve.”

Dutt spoke with Jeff Frick (@JeffFrick), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the AWS Marketplace and Service Catalog Experience Hub event in Las Vegas. They discussed artificial intelligence and how to make it easier to learn. (* Disclosure below.)

A model language for developing models

To make AI education easier, DimensionalMechanics has developed the NeoPulse Modeling Language, which is essentially SQL for artificial intelligence. “The NML language is really easy to use,” Dutt stated.

NeoPulse Modeling Language, which is intended for custom models, is compiled on a machine, after which it observes the data and starts training the model, Dutt explained. Once the model is ready, it can be exported as a Portable Inference Model object, which lets users deploy it onto any end target as long as it runs on runtime.

The language has already been used for an array of purposes, Dutt pointed out. It helped a company match resumes with up to 84 percent accuracy for less than $10,000, it helped another company build technology to measure heart rate for approximately $4,000, and it helped physicians at Stanford University predict whether or not a patient had a tumor, with up to 75 percent accuracy.

Effects of being on AWS

Given DimensionalMechanics’ relatively small company size, being on the Amazon Web Services platform lends it an air of credibility, and subsequently, more possibilities. “When people see you’re on AWS, they see that connected to you. That automatically gives them a little bit more confidence,” Dutt stated.

Increasing customers’ confidence is even more important when it comes to attracting smaller markets, as would happen when producing software that can only be downloaded from the company’s website, Dutt explained. In addition, DimensionalMechanics is on AWS’ machine learning hub, which means that the company appears in searches for machine learning. However, the company still has a way to go in finding the bandwidth to accommodate an expanding customer base, according to Dutt.

“It’s actually more about raising, like, building up a team now than it is about ‘can we get orders?’” Dutt said.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the AWS Marketplace and Service Catalog Experience Hub event. (* Disclosure: TheCUBE is a paid media partner for the AWS Marketplace and Service Catalog Experience Hub event. Neither Amazon Web Services Inc., the event sponsor, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE