Moore’s Law no longer drives innovation in the IT and technology industry. Today, tech advances come from a combination of data, machine intelligence, and the cloud, according to Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio.

“We’ve amassed this huge amount of data that’s growing at a nonlinear rate,” Vellante stated. “So, applying machine learning or artificial intelligence with machine learning to that data is the blending of a new cocktail. And the third leg of that stool is the cloud … which gives you not only that data access, not only the agility, but also global scale.”

Vellante analyzed the current state of the data industry and assessed the event keynote given by Rob Thomas, general manager of IBM data and Watson AI at IBM Corp., during the IBM Data and AI Forum in Miami, Florida (see the full interview with transcript here). (* Disclosure below.)

The super powers of enterprise tech

More than 1,700 customers, partners, and industry analysts were on hand at today’s IBM Data and AI Forum (previously known as IBM Analytics University). The event features technical discussions; best-practice sharing; and hands-on labs and sessions. Setting the stage for the event was Rob Thomas’ keynote, which invoked the metaphor of superheroes and super powers.

“Of course, AI and data being two of those three super powers that I talked about — in addition to cloud,” Vellante said.

Thomas also discussed the low penetration rate of AI within organizations (about four to 10%) and the main factors blocking adoption of the tech, including data quality, trust, and skill sets. IBM products and capabilities aimed at bursting through these barriers include IBM Cloud Pak for Data, which unifies and simplifies the collection, organization and analysis of data.

“It’s this way to virtualize data across different clouds, and on-prem and hybrid, and basically being able to pull different data stores in, virtualize it, combine/join data, and be able to act on it and apply machine learning and AI to it,” Vellante explained.

Another IBM product, AutoAI, allows users to build and deploy a machine-learning model with sophisticated training features and no coding. “It’s basically machine intelligence for artificial intelligence. So, in other words, AI for AI,” Vellante said.

For example, machines can help choose the right algorithm that’s the best fit for a specific use case. “They’ve got experience, and they can have models that are trained to actually get the best fit,” Vellante added.

Thomas also discussed a customer panel that included Miami-Dade County, Wunderman Thompson, and Standard Bank of South Africa Ltd., organizations using machine intelligence and AI to supercharge their business.

‘We heard a use case with the Royal Bank of Scotland basically applying AI and driving their Net Promoter Score,” Vellante concluded.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM Data and AI Forum. (* Disclosure: TheCUBE is a paid media partner for the IBM Data and AI Forum. Neither IBM Corp., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE