Atos Launches Autonomous Data & AI Engineer on Microsoft Azure
Atos Announces the Availability of Autonomous Data & AI Engineer, an Agentic AI Solution on Microsoft Azure, Powered by the Atos Polaris AI Platform
The agentic AI options will likely be on stay demo on the Atos sales space at Microsoft Ignite, happening in San Francisco from November 18 to 21
Atos, a world chief in AI-powered digital transformation and a Microsoft Frontier companion for AI applied sciences, at this time publicizes the provision of an Agentic AI resolution: Autonomous Data and AI Engineer to enhance the capabilities and velocity of information and AI engineering groups. This resolution is powered by the Atos Polaris AI Platform, built-in with Azure’s superior cloud and AI capabilities, launched earlier this yr, enabling complete programs of AI brokers working autonomously to orchestrate advanced workflows.
Grounded in Microsoft Responsible AI rules, this agentic resolution is designed to deal with and automate advanced, multistep knowledge and AI engineering duties for enterprise processes throughout industries. It is at present obtainable for Azure Databricks and Snowflake on Azure, two main cloud-based knowledge platforms obtainable on Microsoft Azure.
The Autonomous Data and AI Engineer can autonomously ingest, course of and work together with structured and unstructured knowledge. After loading information from exterior knowledge platforms, the brokers apply knowledge high quality and transformation guidelines and in the end create knowledge views as the idea for human determination making. Once the standard knowledge engineering duties are efficiently carried out, specialists can use extra AI and visualization brokers to simply question knowledge and derive actionable insights.
Technical and non-technical knowledge and enterprise specialists can use the built-in no-code Atos Polaris AI Agent Studio to combine and orchestrate a number of brokers, join them with Large Language Models, instruments and different brokers utilizing open requirements similar to Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
Atos’ agentic AI resolution reduces guide effort, accelerates improvement and deployment of information operations by as much as 60%. They speed up go-to-market attributable to decrease dependencies on central knowledgeable groups to generate knowledge insights from new knowledge sources. The resolution additionally lowers operational prices by as much as 35% by leveraging DataOps brokers that assist scale back the typical ticket-handling time. Ultimately, enterprise can rapidly adapt to evolving knowledge sources, shifting priorities and compliance necessities, whereas on the similar time liberate R&D and innovation capability.
“The capacity of our Autonomous Data & AI Engineer resolution to seamlessly mix and analyze knowledge throughout main platforms on Microsoft Azure like Databricks and Snowflake allow our clients to speed up their knowledge modernization and AI transformation efforts. Our new agentic resolution permits the ‘Services-as-Software’ paradigm by leveraging AI to deal with advanced, multi-step knowledge engineering duties,” mentioned Narendra Naidu, world head of Data & AI at Atos.
For over 20 years, Atos and Microsoft have collaborated to supply versatile cloud providers that optimize sources, streamline processes, and assist world knowledge facilities. With the introduction of Atos Polaris AI Platform on Microsoft Azure, the businesses are as soon as once more delivering end-to-end options to assist their clients of their digital transformation journey.
The Atos Polaris AI platform will likely be on stay demo at Microsoft Ignite, happening at Moscone Center, in San Francisco, from November 18 to 21st. Experience Atos dedication to innovation and development with knowledge and AI, Atos Polaris AI platform, in addition to our end-to-end AI and Cloud options and way more on our sales space quantity 4335.
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