Augmenting existing talent using automation and generative AI
As IT teams grapple with oversight and governance challenges, having the right tooling and setting up controls are game-changers.
As a result, Rafay Systems Inc. and Accenture PLC have teamed up to bridge the skills gap and add value to existing talent through cutting-edge technologies, such as automation and generative artificial intelligence, according to Michael Quale (pictured, right), AABG global container lead and senior manager at Accenture.
“Our enterprise customers are not looking to spend those $100 million, $200 million transformation deals,” Quale said. “They’re looking to shave costs internally to accelerate their developers’ abilities by using automation as much as possible, or generative AI where it makes sense. There’s just a lot of good that comes out of Rafay, our teams want to be able to do more with less resources. They look to automation, they look to things that handle the audit capabilities, the compliance capabilities that can standardize these environments.”
Quale and Haseeb Budhani (left), co-founder and chief executive officer of Rafay, spoke with theCUBE industry analyst Rebecca Knight at the “Supercloud 5: The Battle for AI Supremacy” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how automation and gen AI enhance human capability and the role that Accenture, Rafay and Amazon Web Services Inc. play in the realization of this objective.
The power-of-three methodology
To help enterprises in the Kubernetes journey, Accenture avails the relevant resources needed to manage clusters by partnering with Rafay and AWS. This partnership plays an instrumental role in providing go-to-market solutions to a vast number of Fortune 100 enterprises, according to Quale.
“We look at a list of clients where we have established relationships, we come to them with a power of three kind of methodology where we partner with AWS, we partner with Rafay, we partner with Accenture’s vast experience and deep expertise in many different fields of technologies,” he stated. “Enterprises are just now starting to see the benefits of containers to help them lower costs and move quickly and give them a developer-friendly experience with Kubernetes. Rafay really fits the needs very well.”
Since automation improves the human situation, Rafay offers a platform that makes it easy for teams and enterprises to offer new capabilities to data scientists, developers and internal users in a controlled fashion, according to Budhani. This plays an instrumental role in taking governance a notch higher.
“We are essentially in the cloud automation business,” he stated. “We help enterprises as they move to the cloud, make it easy for their developers and their data scientists to consume computing. That job revolves around a few technologies, Kubernetes being one of them and, of course, generative AI. Developers get the autonomy to do what they want, but the platform gets the control and the efficiencies so that everybody keeps moving fast with all the governance that they want in place.”
The need for transparent oversight
Even though developers should have the liberty to go as fast as they want, requisite controls should be put in place to tame issues, such as data exposure and costs. As a result, AWS Bedrock comes in handy by offering transparent oversight, according to Budhani.
“We’ve been working closely with AWS to make it easy for enterprises to consume a platform called Bedrock, which is essentially a tooling or platform to try out different generative AI foundation models,” he said. “How do we bridge that chasm so that the things that developers want to try, they continue to try, but with essentially transparent oversight, and that’s what we’ve sort of enabled with our product.”
To avoid gen AI from moving from a high point to a low one, companies need to do it right. This is why the right tooling and controls are needed so that it follows in the footsteps of Kubernetes in becoming a standard since it delivers significant impact, Budhani pointed out.
“There’s a venture fund called Melo Ventures,” he noted. “They published a state of the generative AI report a few days ago and actually fascinating information. The total cloud spend [in] 23 was 400 billion … AI spend was about 70 billion of which gen AI spend was two and a half billion, a lot less. That’s actually not surprising because it’s early. We all forget that it takes time for enterprises to do these things and the classic example of that is Kubernetes.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the “Supercloud 5: The Battle for AI Supremacy” event:
(* Disclosure: Rafay Systems Inc. sponsored this segment of theCUBE. Neither Rafay Systems nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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