How to Build Enterprise AI Apps with Multi-Agent RAG Systems (MARS)
Learn how Multi-Agent RAG systems, supported by AWS and SingleStore, are transforming enterprise AI with advanced ...
Box deepens AI integrations with customizable, no-code agent builder tools
AI Studio is all about helping companies create and deploy Box AI “agents” that are customized to perform specific business ...
Computing21d
AI agents are coming (but maybe not quite yet)
These include integrations with AWS Bedrock Agents, IBM WatsonX and Microsoft Copilot, with CEO Alex Rinke demonstrating the ability to create bespoke agents to manage business processes using ...
Amazon eyeing 'multibillion-dollar' investment in Claude-maker Anthropic — here's why it's a big deal
To date, Anthropic has raised approximately $9.7 billion, with other notable backers including Google parent Alphabet, which ...
Asia One2d
Comviva and AWS collaborate to offer next-generation SaaS products
AWS will support Comviva in building a cloud-first, AI-driven business strategy to achieve faster time to market and drive ...
The Scientist6d
Sapio Sciences Expands Collaboration With AWS to Advance Science-Aware AI Vision
through the integration of AWS Bedrock with the Sapio Platform. This integration makes advanced generative AI models readily accessible to scientists and researchers within the same secure AWS ...
Comviva, Amazon Web Services to collaborate for SaaS products
Comviva partners with AWS to drive cloud-first, AI-driven strategy for CSPs, offering SaaS products and AI enablement.
Comviva, AWS collaborate to deliver next-generation software products to telcos
Amazon Web Services (AWS) will enable Comviva to build a cloud-first, artificial intelligence (AI)-driven strategy to achieve ...
TechCrunch6d
Building enterprise AI apps with multi-agent RAG systems
SingleStore CMO Madhukar Kumar also discussed how multi-agent retrieval-augmented generation systems (MARS) can facilitate ...
Building Enterprise AI Apps with Multi-Agent RAG Systems (MARS)
Join SingleStore to explore a live Retrieval-Augmented Generation (RAG) application that combines real-time streaming data with vast amounts of point-in-time data, achieving near-zero latency in AI ...