Data & Analytics Practice

Five Pillars. One Data & AI Practice.

Each pillar solves a distinct enterprise challenge. Together, they cover the full data & AI lifecycle — from building foundations to running autonomous, intelligent operations.

01

Data Foundations

Modernize legacy platforms into cloud-native, governed data estates that power AI, analytics, and autonomous operations.

90%
faster migration execution
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02

AI Engineering

End-to-end AI platform strategy, governance, and solution delivery. From proof-of-concept to enterprise scale.

12 wks
to proof of value
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03

Decision Intelligence

Transform fragmented dashboards into unified, AI-native decision systems. From modern analytics to autonomous decisions.

80%+
decision automation achievable
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04

Process Intelligence

Go beyond RPA. Redesign workflows for AI-native execution, then deploy reasoning agents that handle exceptions and decisions.

40–60%
process cost reduction
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05

Managed Data & AI

Engineering-led managed services that stabilize operations, optimize spend, and continuously evolve your data estate.

30–60%
TCO improvement
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Why EPAM

Engineering-first. Vendor-neutral. Results-led.

Zero BPO Conflict

We build and transform — we don't compete with your operations. No conflicts of interest, full IP ownership, no knowledge bleed to competitors.

All Platforms, No Bias

AWS, Azure, GCP. Databricks, Snowflake, native cloud services. We recommend what fits your architecture — not what pays us the highest margin.

Proven at Scale

75+ modernization programs. 100+ AI implementations. Deep vertical expertise across Financial Services, Life Sciences, Manufacturing, Retail, and Energy.

75+
Large-scale modernization programs
100+
AI platform implementations
6
Strategic platform partnerships
30–60%
Average TCO reduction

Ready to transform your data estate?

From foundations to autonomous operations — let's build your roadmap.

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