This was one of many takeaways from Google Cloud Subsequent 2024 as theCUBE, SiliconANGLE Media’s livestreaming studio, interviewed firm executives, companions and trade analysts over three full days of protection. What emerged was an image of Google in search of to aggressively redefine cloud computing by means of AI innovation and a differentiated product set.
“AI’s in all places, and I believe Google’s actually looking for their footing, and you’ll see their posture — hiya, subsequent massive factor, doing cloud in a brand new manner,” stated John Furrier, theCUBE Analysis govt analyst, throughout an evaluation of the keynote shows on the convention’s opening day. “They’re looking for that cool issue, and so they’re actually racing quick to fill within the blanks.” (* Disclosure beneath.)
Right here’s theCUBE’s full keynote evaluation:
Listed below are three key insights you may need missed throughout the occasion:
1. Google is constructing a platform for delivering AI to the information.
Within the technique of innovating cloud providers for an analytics-driven future, Google is creating instruments for shifting AI to knowledge. This has grow to be extra obvious with the corporate’s newest bulletins surrounding BigQuery and Vertex AI, Google’s unified machine studying platform.
“It’s bringing generative AI to enterprise knowledge for the shoppers we work with,” stated Yasmeen Ahmad, managing director of information analytics and AI at Google, throughout an interview on the occasion. “They don’t need to take their knowledge out of their safe knowledge cloud. They need the BigQuery/Vertex AI direct integration … that direct connection between BigQuery and Vertex AI actually allows the enterprises to utilize generative AI on high of their enterprise knowledge.”
Right here’s theCUBE’s full video interview with Yasmeen Ahmad:
Google has launched a new function referred to as Operate Calling to facilitate entry for its AI-powered Gemini Code Assistant to real-time knowledge. The purpose is to make use of AI to assist customers handle software lifecycles within the cloud and exploit benefits provided by container platforms.
“Kubernetes and containers have some key attributes which might be a fantastic match for what’s occurring [with AI],” stated Chen Goldberg, normal supervisor and vp of engineering, Kubernetes and serverless at Google, throughout an look on theCUBE. “Containers are nice for innovation and shifting rapidly. [It’s] about how do you’re taking Gemini and create Gemini-powered insights and suggestions inside the console and simply assist me be extra productive, be simpler.”
Right here’s theCUBE’s full video interview with Chen Goldberg:
The transfer of AI to knowledge is having an affect on chipmakers as effectively. Whereas a lot of the dialogue round AI has centered on the want for GPUs to run complicated, data-intensive massive language fashions, Superior Micro Units has seen a transfer towards making use of AI to knowledge shops utilizing CPU processors.
“It’s a lot simpler to carry AI to the information by means of the identical CPU,” stated Suresh Andani, senior director of cloud product administration at AMD, throughout a dialog with theCUBE. “Bringing AI to the information is a movement we’re seeing as a result of the information is already within the cloud … you’re already utilizing the identical CPU-based {hardware} for operating your foundational workloads. Simply infuse AI into it.”
Right here’s theCUBE’s full video interview with Suresh Andani:
2. Cross platform integration is driving curiosity in Google Cloud.
One of many key messages from the convention in Las Vegas centered on Google’s help for cross-cloud networking, opening the net knowledge aircraft to allow a variety of customizations and providers for workloads. Launched in 2023, Google’s Cross-Cloud Community presents a configuration that simplifies and reduces the overhead of connecting to a number of clouds.
“Cross-Cloud Community is basically about how we assist you to construct distributed purposes,” stated Sachin Gupta, vp and normal supervisor of the Infrastructure and Options Group at Google Cloud, in an interview with theCUBE. “It’s how one can join each single one in every of your areas into our spine, leverage the facility of our spine, however carry your safety stack of selection. We’ve got a expertise referred to as Personal Service Join that lets you have a proxy in entrance of your Google Cloud providers and purposes. Now we lengthen that to different clouds or purposes or providers operating on-premises.”
Right here’s theCUBE’s full video interview with Sachin Gupta:
Google has funneled generative AI into Distributed Cloud, which permits clients to look delicate enterprise knowledge utilizing pure language on the edge or in on-premises environments. For corporations reminiscent of Elastic B.V., a supplier of observability and safety options by means of Elasticsearch, synergy with Google’s Distributed Cloud is facilitating the agency’s personal buyer help.
“What we targeted on is ensuring that we’re partnering with these applied sciences and dealing intently with them to make it possible for Elasticsearch works successfully,” stated Kathleen Walker, senior director of product advertising and marketing at Elastic, in a dialog with theCUBE throughout Google Cloud Subsequent. “Google is an ideal instance of that, the place we obtained collectively and constructed some reference architectures that we might share with our mutual clients about how you can construct conversational experiences on Elasticsearch [and] on Google.”
Right here’s theCUBE’s full video interview with Kathleen Walker:
Google’s cross-platform focus has attracted the eye of trade analysts as effectively. The flexibility to deploy specialised fashions throughout totally different areas is capturing enterprise curiosity, in line with Andy Thurai, vp and principal analyst at Constellation Analysis Inc.
“While you take a bigger mannequin [and break it] into small fashions, one of many issues that they’re doing is named a mannequin cascading,” stated Thurai, throughout his look on theCUBE. “You don’t must have an even bigger mannequin on the edge areas to do one thing with that. You’ll be able to have a mannequin that’ll work effectively for you in that specific location. You’ll be able to cascade it to a different mannequin both on cloud or the subsequent location.”
Right here’s theCUBE’s full video interview with Andy Thurai, who was joined by Sarbjeet Johal, expertise analyst and go-to-market strategist, and Dustin Kirkland, vp of engineering at Chainguard Inc.:
3. Speedy adoption of AI is opening new alternatives for safety instruments within the cloud.
TheCUBE’s many interviews at Google Cloud Subsequent highlighted how corporations had been dealing with safety within the AI period. As AI fashions increase in operating key enterprise purposes, some safety suppliers are counting on Google Cloud to provide providers.
“We’re utilizing quite a lot of the Google Cloud infrastructure, the BigQuery infrastructure,” stated Munish Khetrapal, vp of Google Cloud at Palo Alto Networks Inc., throughout an look on theCUBE throughout the occasion. “That’s the cornerstone of making nice AI. You’ve gotten good knowledge, you might have good fashions after which you’ll be able to ship nice safety. That’s what we do in our SecOps platform.”
Right here’s theCUBE’s full video interview with Munish Khetrapal:
Managing permissions and safety round AI to attenuate publicity of extremely delicate knowledge has grow to be important for a lot of organizations. Knowledge storage suppliers reminiscent of Field Inc. are working with Google Cloud to ship the required framework for utilizing AI safely and securely.
“This concept of safety and permissions round AI is basically essential, and this has been holding quite a lot of clients again from simply even embracing it,” stated Ben Kus, chief expertise officer of Field, in an interview with analysis analysts from theCUBE. “Actually, in the event that they go to attempt to construct stuff themselves, this has been a problem. That is why at Field we offer that type of functionality, after which we’re in a position to assist clients perceive how you can use it in a safe and protected manner.”
Right here’s theCUBE’s full video interview with Ben Kus:
Defending delicate knowledge gained new significance for Google this month when the corporate introduced that its Public Sector division had been granted authority to function at top-secret safety ranges inside U.S. authorities companies. Adoption of AI within the public sector can be resulting in an elevated deal with key safety practices reminiscent of zero belief.
“[Government agencies] have already been working with generative AI. They need to quickly undertake, and so they’re making an attempt to implement it as speedily as they’ll,” stated Karen Dahut, chief govt officer of Google Public Sector at Google, throughout an interview on theCUBE. “Our whole structure relies on zero belief. Once I discuss Google Cloud having all the industrial applied sciences of zero belief in-built, that’s what I imply. It’s constructed into our firm’s DNA.”
Right here’s theCUBE’s full video interview with Karen Dahut:
To look at extra of theCUBE’s protection of Google Cloud Subsequent 2024, right here’s our full occasion video playlist:
(* Disclosure: TheCUBE is a paid media accomplice for Google Cloud Subsequent 2024. Neither Google LLC, the first sponsor for theCUBE’s occasion protection, nor different sponsors have editorial management over content material on theCUBE or SiliconANGLE.)
Picture: weerapatkiatdumrong through Getty Photos
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