Data & Analytics Practice

Five Pillars. One Integrated Data & AI Practice.

Each pillar solves a distinct enterprise challenge. Together, they cover the full lifecycle — from modernizing legacy foundations to running autonomous, AI-powered operations.

01

Data & AI Modernization

AI-accelerated migration from legacy platforms to modern, cloud-native data foundations.

90%
faster migration execution
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02

Applied AI Engineering

End-to-end AI platform strategy, governance, and solution delivery at enterprise scale.

12 wks
to proof of value
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03

Decision Intelligence

Transform fragmented analytics into unified, AI-native decision systems.

80%+
decision automation
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04

Agentic Process Transformation

Redesign operations and deploy intelligent agents that reason, decide, and act.

40–60%
process cost reduction
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05

Data & AI Managed Services

Engineering-led managed services that stabilize, optimize, and continuously transform.

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 modernization to autonomous operations — let's build your roadmap.

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