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Reimagine data modernization
with Agentic AI

Meet EXL at Databricks Data + AI Summit 2026
Booth #581 | June 15–18 | San Francisco

Only 30% of organizations report that their data is available enterprise-wide. The rest struggle with data silos, lack of data clarity, and challenges uncovering insights from structured and unstructured data.

So, what’s holding your data back?

  • Unstructured data across disconnected legacy systems
  • Blind spots in data visibility and governance
  • Slow and costly implementations
  • Challenges with data lineage or data quality

Let’s redefine what’s possible with your data!

Join us at the Databricks Data + AI Summit 2026, Booth #581, from June 15–18 in San Francisco and experience EXLdata.ai in action. This powerful multi-agent suite of data solutions is designed to tackle the toughest challenges in making your data AI-ready.

With EXLdata.ai, you can:

  • Autonomously manage data discovery, migration, engineering, governance, annotation, labeling, and operations across the entire data lifecycle.
  • Deliver faster outcomes at lower costs with production-grade reliability.
  • Seamlessly integrate with modern data platforms like Databricks, Snowflake, or Palantir, enhancing your existing investments instead of replacing them.

Stop by and see how we’re making data modernization simple, fast, and impactful!

"Clients are facing challenges making data AI-ready, and Databricks and EXL are addressing a major gap in the market. EXL’s solution, powered by Databricks Agent Bricks, provides pre-built agents, annotation, and observability, which helps clients enrich data sources, improve model accuracy, and embed AI into workflows. This integration allows clients to connect, prepare, and govern data at scale, accelerating enterprise-wide AI adoption and measurable business value."

- Barry Dauber, Vice President, GenAI GTM at Databricks.

Don’t miss out on our speaking session!

From dilemma to decision-ready: Turning data into actionable intelligence 

Enterprises are constantly struggling to bridge the gap between raw data and actionable insights. Issues like fragmented data lineage, inconsistent quality, disconnected governance, and the complexities of unstructured data often erode trust in analytics and make informed decision-making a challenge.

In this session, we’ll dive into how EXLdata.ai closes this gap by embedding an intelligent, agent-driven semantic layer directly into Databricks technologies like Delta Lake and Unity Catalog. This seamless integration tackles these challenges head-on, turning raw data into reliable, context-rich intelligence at scale!

Try EXL’s new Gen AI search!