Agentic AI for Data

data quality in their journey to realize efficient analytics capabilities.

Agentic

AI for Data,

powered by Microsoft's suite of technologies, including Azure OpenAI and

Fabric, addresses these challenges. For example, in a recent application, the

solution demonstrated its capacity to streamline database management through a natural language interface to SQL and

also

synthetic data generation. This solution can unify data natively across a range

of databases like MySQL, and Postgres, etc., Data Virtualization is also supported

through integration with Starburst, which unlocks access to a wide variety

of SQL or NoSQL databases. Entity Relationship (ER) diagrams can be converted

automatically to Data Definition Language (DDL) scripts which simplifies

workflows, while its ability to suggest and generate visualization strategies

empowers business intelligence teams. As a result, it has enabled streamlining

of analytics workflows, improved data quality, and democratized analytics

capabilities, thus unlocking value at an Enterprise scale.

Customer

Benefits

After demonstrating Agentic AI for Data with Microsoft technologies, all of our clients appreciated the enhanced Analytics capabilities, which significantly improved their streaming data engineering and

unparalleled access to data.

Clients

are considering embarking on pilot programs to evaluate the solution in their

environments on their Enterprise data.