The maturity of artificial intelligence technology is taking hold in tandem with the multicloud paradigm becoming mainstream.

Google LLC, one of the main drivers in this revolution, is reinforcing its commitment to leverage AI in key areas within its consumer and enterprise offerings.

“From Google’s perspective, we’ve been an AI-first company for a long time,” said June Yang (pictured), vice president of cloud AI and industry solutions for Google Cloud at Google. “If you think about our products and so forth, whether it’s on the consumer side or the industry [and] enterprise side, pretty much all our products have AI built in. It’s great to be able to take a lot of those capabilities and bring them to our enterprise customers as well, allowing them to harness the power of AI.”

Yang spoke with theCUBE industry analyst John Furrier at Supercloud 4, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the profound impact of generative AI, the changing landscape of industries and the role Google Cloud is playing in shaping the future.

Vertex AI and beyond

Google has maintained a longstanding dedication to expanding the frontiers of AI applications within and beyond gen AI. This unwavering approach has allowed the company to offer powerful capabilities to its enterprise customers, empowering them to create new value areas, according to Yang.

One such example is Vertex AI, a platform that allows for purpose-built machine learning tools for engineers and data scientists to standardize, automate and manage machine learning projects at scale. A key highlight at the recent Google Next event, the technology is already facilitating the next phase of ML and deep learning innovation and making AI accessible and user-friendly for a wide range of Google customers.

“The AI models all run on our TPU and GPU stack, very much an integral part of the stack,” Yang said. “Then, of course, as you rise higher up, you think about customers who want to be able to build AI or build an application with AI. This is where Vertex AI comes in.”

Built atop Vertex, Duet AI is a powerful collaborator whose capabilities stretch across all facets of Google Workspace and Google Cloud, according to Yang. With it, users can connect their data, create capable business applications and build nuanced workflows into Google Workspace.

“When we think about using AI in our Google Cloud products, whether it’s in Workspace, Duet AI for Workspace or Duet AI for GCP, those are the areas where we have taken our AI capabilities and made them usable so that customers can take advantage of them,” she said.

Google’s customers don’t have to know anything about AI, they “just make their life easier,” she added.

The new AI era and its potential impact on industries

With AI having matured into its “generative” phase, one key result has been the democratization of its usability. The tech is now more accessible to developers, business users and ordinary individuals alike. This shift has the potential to transform a wide range of industries, ushering in a new era of possibilities, according to Yang.

“Whether it’s developers trying to code, getting some coding help or just a regular business user trying to use Google Docs and be able to say, ‘Hey, help me write something,’ those are easy ways for those applications that are taking the availability of AI and making that a reality,” she explained. “And, of course, Duet AI is built on top of Vertex AI, so this is our way of dogfooding and actually using our own products for various purposes too.”

Much like past tech revolutions, such as the advent of the web and mobile, AI represents a massive shift in how industries operate. The democratization of AI and generative AI is enabling a broader range of users to benefit from its capabilities. And as that transformation touches every industry, it will be crucial for companies to adapt and refactor their operations to stay competitive, according to Yang.

“I think every industry has to think about how they’re going to do things,” she said. “You think about the earlier stage of AI, that’s really kind of more in the hands of the elitists: data scientists, the ML engineers, people who have the depths and knowledge of using AI. And as generative AI and these foundational models come to life … now you actually can involve many more users, like the developers, who are at least 10x the size of the data scientist population.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Supercloud 4:

Photo: SiliconANGLE