iAURA 2.0: Agentic AI for Enterprise Data Management

Last month, we celebrated the first anniversary of iAURA, our solution for enterprise data management. During the past year, iAURA has helped organizations unlock new value from their data. Today, we are pleased to announce the next step in that journey with iAURA 2.0, the Agentic Avatar of iAURA, introducing even more intelligent, automated capabilities to help enterprises get the most from their data in the Generative AI era.

Adoption of GenAI directly depends on the quality of your data. Our Data for AI solutions make sure that your data platform and data is ready for GenAI. With iAURA 2.0, we have introduced several enhancements and new capabilities:

Key updates in iAURA 2.0 include:

• iAURA Data Insights 2.0 provides an upgraded version of “talk to your data” use cases. You can ask questions to your databases in natural language, see KPIs and corresponding visualizations automatically generated by the system, tag them, perform RAG search, and contribute to the library. Autonomous Insights keep a watch on these visualizations, detecting and flagging trends or anomalies as the underlying data changes.
• AI Data Modeler is a new addition in the iAURA suite. It can parse through your OLTP data model, or data ingested from your data vendors, and automatically recommend the data warehouse data model based on the KPIs you want to track.
• AI Data Mapper takes data modeling to the next step by automatically generating data mappings from source to target schema, making it very easy to implement data transformations and pipelines.
• Data Observability suite is now upgraded with automated monitoring capabilities. We also leverage GenAI for modernizing and managing the data platform. Our ‘GenAI for Data’ solutions leverage AI Agents to help modernize and manage your data platforms more efficiently
• Agentic ETL and DWH migration services leverage AI Agents to perform current inventory assessments, generate documentation, generate lineage, create project plans, perform code conversion, and generate test suites. This capability extends to various ETL tool migrations like SSIS, Informatica, and DataStage to DBT, Spark, or SQL migrations on Databricks, Snowflake, AWS, GCP, and Azure platforms. Platform migrations from Teradata, Oracle, SQL Server, and others to Snowflake, Databricks, Azure, AWS, or GCP are supported.
• Agentic BI migration provides similar capabilities for Business Objects, MicroStrategy, Tableau, and Spotfire migrations to Power BI, Qlik, or QuicksSight. With an agentic approach, we can perform assessment, generate project plans and push them to Jira, generate documentation and push it to Confluence, and generate the migrated report and push it to target BI systems. Customers have observed a productivity gain of 55-65% in their migration projects.
• Agentic Managed Services are AI agents that triage your support tickets and automatically resolve issues related to Snowflake, Databricks, GCP BQ, Airflow, Tableau, and Power BI. The agents also monitor your data pipelines and flag and resolve issues for job failures as well as anomalous behavior in tasks execution.

All of these solutions are composable but follow similar design and deployment pattern based on the iAURA 2.0 Agentic Framework. We have more than 30 AI agents, and the number is constantly growing. We use a crowdsourcing approach for building agents, along with strong dedicated team. This enables us to provide value to our customers in all dimensions – speed, thought leadership, cost savings, and agility.

For more details about iAURA 2.0, please visit here