EPAM Named the 2026 Databricks C&SI AI Partner of the Year

Learn more about EPAM's partnership with Databricks

The award recognizes EPAM's impact in helping clients across industries operationalize AI on the Databricks platform, accelerating the journey from fragmented data to trusted, production-grade AI applications and agents that help business teams act with confidence. EPAM's delivery approach and AI accelerators were recognized for helping organizations reduce decision cycles from days to minutes, decrease reliance on manual reporting and put governed, conversational intelligence in the hands of the people who drive business outcomes.

"We're delighted to be awarded Databricks' 2026 Consulting & Systems Integrator AI Partner of the Year. This recognition reflects the impact of our partnership in helping global organizations turn AI strategy into enterprise-scale transformation," said Valentin Tsitlik, SVP, Head of Data and Analytics Practice, EPAM. "Together with Databricks, we help our joint clients build the trusted data foundations and production AI capabilities needed to simplify decision making, improve enterprise performance and create measurable business value."

EPAM has demonstrated a strong commitment to helping client organizations build and scale data analytics, AI applications and agents through its collaboration with Databricks, the Data and AI company. Working across healthcare and life sciences, consumer goods and retail, manufacturing, media and other industries, EPAM has developed industry-specific AI accelerators that help clients modernize their data platforms and accelerate AI adoption.

"The most successful organizations today are those that can turn raw data into real business impact. EPAM, our 2026 Consulting & Systems Integrator AI Partner of the Year, stands out in helping customers make that leap," said Kori O'Brien, SVP, Global Partnerships at Databricks. "Their ability to execute complex transformations on the Databricks platform helps our joint customers move faster and put AI to work in meaningful, measurable ways."

EPAM's winning use cases illustrate how conversational AI can unblock workflows typically slowed by fragmented data and manual reporting, helping client teams detect issues earlier, improve alignment and move faster from insight to action. By creating trusted enterprise context from governed data, these solutions help AI applications and agents deliver more accurate insights and actions across critical business workflows. This recognition reflects not just delivery excellence, but EPAM's broader commitment as an AI-first company, combining deep engineering heritage with a relentless focus on turning AI strategy into measurable enterprise outcomes.

This focus on trusted data foundations and governed AI aligns with broader industry guidance on what enterprises need to scale AI responsibly. As Forrester notes in a recently published report, "When data governance and AI governance operate in alignment, they become a powerful engine that delivers the outcome the business craves: trust, enablement, superior intelligence, assurance, and control. Trusted data strengthens AI outcomes, while governed AI use cases create clearer expectations for data quality, access, and controls."[1]

The strength of the EPAM partnership with Databricks is also reflected in enterprise-scale data modernization work that helps clients build the foundation for future AI initiatives. In an engagement with a leading marketing data and analytics company, EPAM helped deliver the client's first modern enterprise data platform on Databricks and Microsoft Azure, simplifying a fragmented data estate and creating a common data model to support governance, reduce duplicate engineering work and enable high-volume analytics across the enterprise.

To learn more about EPAM's partnership with Databricks, visit: www.epam.com/services/partners/databricks.

Forrester, "Operationalize Data and AI Governance To Enable Business Outcomes", Jayesh Chaurasia, Enza Iannopollo with Sudha Maheshwari, Samishti Bhatia, Jen Barton, June 2, 2026