Les principales annonces concernant l’IA au MongoDB.local NYC

MongoDB, a leading platform for developers, has announced several new features and integrations at the MongoDB.local NYC conference to empower teams in creating customer-oriented solutions using AI. The company's flexible document model allows users to store source data, metadata, and associated vector representations together, making it easy to combine and use with other types of data stored in MongoDB. MongoDB Atlas, the fully managed multicloud database platform for developers, facilitates the creation of AI-based applications and experiences through its extensive partnerships and integrations, regardless of the language, framework, foundation model, or technology partner chosen by developers. The company continues to focus on its partnerships and AI integrations to enable easier creation of innovative applications with generative AI. MongoDB's search nodes provide dedicated computing and allow users to isolate memory-intensive AI workloads for better performance and availability. These search nodes are part of Atlas Search, a fully managed multicloud platform that helps developers build and deploy modern AI applications more quickly by eliminating integration, security, and maintenance challenges related to essential data components. The company also announced improved versions of its intelligent development experiences in MongoDB Compass, MongoDB Relational Migrator, and MongoDB Atlas Charts, aiming to enhance developer productivity and speed. Additionally, MongoDB introduced the MongoDB AI Application Program (MAAP) to provide clients with a simple way to start using generative AI, offering a fully functional application built on a reference architecture supported by MongoDB Atlas, approved IA models, hosting solutions, technical support, and complete service engagement led by their professional services team. MongoDB's commitment to innovation and flexibility in working with data continues to drive its investment in enabling easy access to all other components of the AI stack, ensuring compatibility with various application parts, offering a managed service covering multiple clouds, and maintaining the openness that has always been at the core of MongoDB to avoid provider lock-in.