Product announcements from Amazon Web Services Inc. this week highlighted the cloud giant’s interest in positioning itself at the center of the artificial intelligence conversation by offering a fully integrated AI platform.

Key elements in that approach involve the firm’s SageMaker and Bedrock offerings.

“We want AWS to be the best place for customers to build generative AI applications,” said Baskar Sridharan (pictured), vice president of artificial intelligence and machine learning, service and infrastructure at AWS. “We want SageMaker, we want Bedrock, and we want the data processing capabilities that we launched to be the easiest and most scalable way for you to get to market really quickly and very efficiently. Whether you’re trying to process data or whether you’re trying to train and build a model, or whether you’re running inference, that’s the vision.”

Sridharan spoke with theCUBE Research’s John Furrier for theCUBE’s “Cloud AWS re:Invent Coverage,” during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed key elements of the company’s strategy for delivering an integrated AI platform.

Integrated AI platform: Creating a unified AI experience

This week’s announcements from AWS regarding SageMaker, the company’s neural network development platform, were designed to support structured query language analytics and petabyte-scale data processing. The latest updates were focused on making SageMaker a fully integrated platform for AI development.

“We are saying the next generation of SageMaker is the unified experience that will move our customers and help more customers, from data to analytics to modeling development and also to help generative AI app development,” Sridharan said.

AWS also released major new capabilities for Amazon Bedrock, the company’s managed service that makes high-performing foundation models available for use through a unified API. The cloud giant announced the launch of Amazon Nova on Tuesday, a set of six models designed for rapid inference and efficiency that will be integrated into Bedrock.

“We now consider Bedrock as the platform for inference workloads on AWS,” Sridharan said. “The key element here for us is how we help our customers write and build their generative AI applications while understanding that there’s not going to be one model that rules them all.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s “Cloud AWS re:Invent Coverage”:

Photo: SiliconANGLE