Engineering AI-Native Breakthroughs

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EPAM's CEO Balazs Fejes, Bets on AI-Native Future

Balazs Fejes, as the new CEO of EPAM, shared his vision to position the company at the forefront of the AI-native era: where innovation, data integrity and engineering depth define competitiveness. With over two decades at EPAM and a strong product and technology background, he described the leadership transition as a natural evolution of the company’s enduring growth story.

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Shadow AI: The Emerging Enterprise Risk That Can No Longer Be Ignored

Praveen Ojha, Chief Technologist at EPAM Systems India, shared his perspective on Shadow AI: the unsanctioned tools, models and workflows quietly shaping enterprise productivity outside formal governance. With over 90% of employees using personal AI accounts while only 40% of organisations offer sanctioned alternatives, he argued that prohibition only fuels the behaviour it seeks to eliminate. The path forward lies in controlled enablement with secure sandboxes, governed copilots and AI-literate teams.

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Outlook 2026 | Top 5 data and AI trends in the year ahead

EPAM India’s CTO outlines the five data and AI trends set to reshape enterprise strategy in 2026, from the rise of AI-native operating models and agentic AI acting as autonomous digital workers to embedded GenAI copilots, quantum readiness and the growing need for cross-functional, AI-capable teams. He argued that 2026 is the year leaders must treat AI as a foundational capability, rebuilding infrastructure, workflows and operating models while investing in AI-native talent to turn AI potential into predictable, responsible ROI.

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EPAM Ranks Among Top 3 in Glassdoor’s Best Companies in Tech & AI 2026

As part of the 18th annual Best Places to Work awards, EPAM has been recognized among the top three in Glassdoor’s inaugural Best Companies in Tech & AI list for 2026. This distinction reflects EPAM’s continued focus on engineering excellence, AI-driven innovation and a culture that prioritizes talent growth and meaningful impact. As organizations navigate the next wave of AI transformation, EPAM’s recognition underscores its ability to combine deep technical expertise with a people-first approach.

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Why Data Design Defines the Agentic AI Era

Srinivasa Kattuboina, Head of Data & Analytics Practice at EPAM India, challenged the long-held assumption that scale equals intelligence in enterprise AI. As generative and agentic systems take on autonomous decision-making, he argued that relevance, context and intent now matter more than volume. The next competitive edge, he noted, will belong to enterprises that treat data design as a strategic capability, invest in modern architectures for real-time and unstructured data, and elevate data strategy to a boardroom priority.