Speed up AI development with MongoDB AWS integration

Amongst several announcements made by MongoDB Inc. today was the news that Atlas Vector Search Integration with Knowledge Bases on Amazon Bedrock had moved into general availability.

The move was designed to assist speed up development of generative artificial intelligence applications and construct features using fully managed foundation models more easily.

“It enables us to have developers use the tools for constructing the apps that they need to use, knowing full well that they don’t have to go away that console to return to our console to integrate MongoDB,” said Peder Ulander (pictured, left), chief marketing officer of MongoDB. “We’re a part of the general orchestration unit so that they can move quickly.”

Ulander spoke with theCUBE Research’s chief analyst Dave Vellante on the MongoDB.local NYC event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. He was joined by Mona Chadha (right), director of category management at Amazon Web Services Inc., and so they discussed recently announced generative AI partnership initiatives from AWS and MongoDB. (* Disclosure below.)

MongoDB leverages Competency Partners for AWS technologies

MongoDB’s latest announcement with AWS is an element of a longstanding partnership between the 2 firms. MongoDB is a participant within the Generative AI Competency Partners program launched by AWS in March. This system is designed to assist partners and customers leverage key AWS AI technologie,s comparable to Amazon Q, Bedrock and SageMaker, together with offerings from partners comparable to MongoDB.

“We desired to be sure our customers were exposed to all of our different partner solutions that integrate to AWS services,” Chadha said. “In turn, those partners may also help customers with integrations to their applications.”

AWS can be a participant in MongoDB’s newly announced AI Applications Program, or MAAP. This system will help organizations construct and deploy modern apps using generative AI on an enterprise scale.

“We saw an enormous opportunity in how we were working across various industries,” Ulander said. “MAAP brings together that wealthy ecosystem with validated referenced designs based on the use cases they are attempting to attain and the integrations into all of the technologies which might be required to achieve this.”

Here’s the whole video interview, a part of SiliconANGLE’s and theCUBE Research’s coverage of the MongoDB.local NYC event:

(* Disclosure: TheCUBE is a paid media partner for the MongoDB.local NYC event. Neither MongoDB Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE