Atos || Autonomous Data & AI Engineer for Snowflake on Azure

The Autonomous Data & AI Engineer Agents are specifically designed to automate complex, multistep data & AI engineering workflows across various industries. Optimized for Snowflake on Azure, these agents independently load, process, and manage both structured and unstructured data. They enforce data quality and transformation protocols, generate refined data views within Snowflake, and facilitate efficient downstream analytics and informed decision-making.

Powered by Atos Polaris AI Agent Studio which offers a no-code platform that enables both technical and non-technical users to efficiently integrate and build multiple system of agents, interface with Large Language Models, and utilize open Agent-to-Agent (A2A) protocols for robust collaboration. This solution empowers organizations to extend automation throughout the entire data lifecycle, from ingestion to AI based insight generation, without requiring extensive coding or reliance on IT teams.

This solution integrates Azure Data Factory, Power BI, Snowflake, Azure AI Services to provide a secure, scalable, and compliant environment for the development and deployment of sophisticated multi-agent systems for Snowflake on Azure.

Key Benefits-

• Achieve up to a 30%-60% reduction in manual data & AI engineering efforts through autonomous operations.
• Expedite the development and deployment of data solutions, thereby decreasing the time required to achieve actionable insights.
• Realize maintenance cost savings of up to 35%.
• Improve agility to accommodate changing data sources, regulatory requirements, and shifting business priorities.
• Increase R&D capacity, fostering greater innovation and accelerating time-to-market.

Outcome- Implementation Roadmap: Prioritized plan to deploy autonomous agents and deliver measurable outcomes.