As artificial intelligence reshapes our world with groundbreaking innovations, it’s clear that conventional strategies won’t suffice. Organizations need a visionary AI plan — one that embraces bold, unconventional ideas to harness the full potential of these technologies for superior results.

Spinning things up with AI continues to take center stage in the enterprise world because it acts as the stepping stone toward better decision-making, demonstrating that a specific AI plan is required now more than ever, according to Bobby Allen (pictured), cloud therapist at Google LLC.

“Customers obviously want to talk AI all the time,” Allen said. “They’ve got to come up with an AI plan. Are you talking of a plan for AI-assisted development? You want to create AI workloads? You want AI-infused insights on your platform? You want AI-assisted collaboration? Yes. They want all of those things, and so we have to kind of break down exactly what [they’re] looking for at the time. AI is not the thing; AI is the thing that makes the thing better.”

Allen spoke with theCUBE analysts John Furrier, Savannah Peterson and Dustin Kirkland at Google Cloud Next 2024, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed why jumping on the AI bandwagon is a necessity, and how Google’s Cloud Run platform is essential for deploying AI-driven applications quickly and securely. (* Disclosure below.)

Streamlining AI deployment for strategic advantage

By using easy-to-deploy features that do not forfeit enterprise-grade visibility or security, Google’s Cloud Run application canvas should be seen as an ideal starting point in the AI journey, according to Allen. This is because it’s a fully managed platform that is designed to generate, modify and deploy Cloud Run applications.

“We did three demos in that one session alone [at Google Cloud Next],” Allen said. “The first one was on what we call Cloud Run application canvas. The cool thing about it is you’re literally using AI to create AI. Cloud Run is already the simplest way to deploy your code to a container. Literally, and I’m not exaggerating, in five minutes, you can get an application running. You can say, ‘I want a gen AI application that looks like this, and it’ll build it.’”

Google Cloud is accelerating the AI narrative through cutting-edge features. For instance, Gemini Cloud Assist enables teams to optimize, operate and design their application lifecycle because innovation happens at the intersection of where the model lives and where the app runs, Allen pointed out.

“The second demo was what we call Gemini Cloud Assist … where you’re using AI to help you operate and optimize existing workloads in a platform like GKE,” Allen said. “The third demo was Security Posture, because unfortunately our pace of innovation is increasing, but the bad actors are still doing the bad acting. They’re still doing their thing … we’ve got tools.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Google Cloud Next 2024:

(* Disclosure: TheCUBE is a paid media partner for Google Cloud Next 2024. Neither Google LLC, the primary sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE