As artificial intelligence and deep learning revolutionize the computing market, these new technologies require very complex and high-performance computing systems. So what are technology companies doing to meet these complex demands? IBM Corp. has stepped up to the challenge by creating a three-tiered approach.

“IBM saw the opportunity and realized that we really need to architect a new class of infrastructure,” said Sumit Gupta (pictured, left), vice president of artificial intelligence, machine learning and high-performance computing at IBM. “These things are truly game-changing, but they also require [graphics processing unit] accelerators; they also require multiple systems.”

Gupta and Steven Eliuk (pictured, right), vice president of deep learning, Global Chief Data Office, at IBM, broke down IBM’s strategy for AI and deep learning in a conversation with Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the IBM Chief Data Officer Strategy Summit in San Francisco. They discussed new capabilities within IBM about AI and deep learning. (* Disclosure below.)

AI, machine learning requires complex systems

How did IBM architect a new class of infrastructure? It broke a solution down into three pieces of the puzzle: Ease of use right, hardware and software optimized for performance and capability, and point-and-click AI, according to Gupta.

Ease of use requires a system that has an easy interface to navigate. “[From] any data scientist perspective, they need to just do their data science and not worry about the infrastructure,” Gupta said. “They actually don’t want to know that there’s an infrastructure.”

To ensure this ease of use, the hardware and software in the systems needs to be optimized for performance. Then using the lessons learned, it is necessary to create pre-trained AI models for clients.

“If we can leverage these pre-built models and just apply a little bit of training data, it makes it so much easier for the organizations and so much cheaper,” Eliuk concluded.

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

Photo: SiliconANGLE