“Google has always been known as the AI company – and generative AI is really giving us the opportunity to shine” – Google Cloud VP tells us why it will be the power behind your company’s AI future

Generative AI tools have quickly become one of the most essential tools for companies of all sizes and across all industries, but how useful can they really be without the right support and investment from the companies driving the innovation?

Given its size and influence, Google Cloud has been at the forefront of the technology curve for some time, and when it comes to the so-called ‘AI revolution’, it is unsurprisingly well-placed to maximize the potential of generative AI.

At the company’s recent Google Cloud Next event in London, the company wanted to emphasize how central a role it can play. But now that it has talked the AI ​​talk, can it now walk the AI ​​walk?

“The AI ​​Company”

“Google has always been known as the AI ​​company…(but) this generative AI generation really gives us a chance to shine,” Phil Moyer, VP of Global AI & Business Solutions at Google Cloud, told us at Google Cloud Next.

Moyer had previously spoken as part of the event’s keynote speech, highlighting the “incredible momentum” of Google’s Vertex AI platform and noting that there had been an “explosion” in projects and products looking to use the technology.

He added that Google had effectively been an “AI company” since CEO Sundar Pichai announced this ambition for the company in 2016, effectively giving it a more than a decade’s lead over the competition.

“We are unique,” ​​he notes, “in providing cloud models, but also first-party models, open source models and third-party models,” adding that Google Cloud offers more than a hundred models covering more than 70 Powering % of today’s AI unicorns. .

Moyer was keen to highlight the potential impact of Cross-Cloud Interconnect, announced in May 2023, which will allow users to connect any public cloud to Google Cloud, significantly increasing interoperability, migrating workloads from one cloud to another and enabling SaaS at the same time is simplified. networking in a multi-cloud environment.

“The fact that we host all these models and provide all these tools – first-party tools, our tools – tools to make sure that what you’re doing is accurate and that you can build quickly – I would probably say we have the broadest offering from all cloud suppliers.”

(Image credit: Future/Mike Moore)

Looking to the future, Moyer emphasizes the potential for collaboration and expansion, in many cases given the enormous interest in generative AI right now.

“I am very excited and amazed to see how universal the interest in gen AI is, across the world,” he notes, “across every organization the interest is universal, it has sparked the imagination of every business leader.

“Sometimes expectations are exaggerated, and we need to adjust what those expectations are – sometimes people can be too aggressive about the problems they tackle, but overall… the fear of missing out is about ‘am I thinking broadly enough about the use of AI in every business function”

However, these expectations and hopes could be crucial to getting the most out of generative AI, with Moyer concluding by once again emphasizing how crucial Google’s own work can be in making the technology better for everyone.

“Our DNA and mission is to organize the world’s information and make it useful to everyone – and AI is central to that. When you have information and data, which in some cases is doubling or tripling every year, it becomes more and more difficult and difficult for organizations and individuals to keep track of that information.”

“You’ll see as we make it safer, easier and more cost-effective… that the next three to five years will see a lot of maturity and a lot of innovation.”

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