Companies often face the challenge of fragmented data, complex data management, and poor 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.

Agentic AI for DataSynechron Technologies

Agentic AI for Data

Synechron Technologies

Agentic AI for Data

Synechron Technologies

Agentic AI for Data
Synechron Technologies