Elastic appoints Atul Ahuja to scale enterprise AI adoption in India

Focuses on connecting AI models to enterprise data across fragmented systems.

Elastic has appointed Atul Ahuja as area vice president and general manager for India, as it looks to expand its enterprise AI and data strategy in the market.

Ahuja will lead Elastic’s business and growth in India, with a focus on helping organisations build AI applications grounded in enterprise data and move from experimentation to production-scale outcomes.

The appointment comes as enterprises shift from generative AI pilots to real-world deployments, where access to relevant and contextual data remains a key challenge.

Elastic positions its platform to connect AI models with enterprise data spread across logs, documents, applications, and systems, without requiring large-scale data movement or duplication.

This enables organisations to act on insights in real time.

“Atul joins us at an important moment, as organisations are under pressure to translate AI investments into measurable outcomes,” said Elastic’s vice president, Asia Pacific and Japan, Sanjay Deshmukh.

The appointment comes at a time when Elastic is expanding its positioning around connecting AI models to enterprise data.

The company has over 3,000 customers globally using its platform for AI-related use cases, reflecting growing adoption as organisations move toward production deployments.

India represents a key market in this shift, with enterprises still transitioning from AI experimentation to operational systems.

In this context, Ahuja’s role will focus on driving adoption of data-driven AI applications and translating enterprise demand into production-scale deployments across sectors.

Focus on data-driven AI adoption

Ahuja brings more than three decades of experience across enterprise technology and market expansion in India and the Asia Pacific region.

Most recently, he worked as a strategic advisor to emerging technology companies, focusing on scaling go-to-market operations across AI, cloud, and cybersecurity segments.

Elastic said his experience aligns with its focus on helping enterprises operationalise AI by connecting models to business-critical data.

“Across India, organisations are realising that AI is only as effective as the data behind it,” said Ahuja. “The focus now is on building AI applications and agents that are grounded in enterprise data and can deliver measurable outcomes.”

The company said the opportunity lies in bringing AI closer to enterprise systems and data sources, enabling more contextual and reliable outputs from models.

As organisations look to scale AI deployments, the focus is shifting toward integrating data across environments and building applications that can operate in real-world conditions.

Elastic’s approach centres on enabling enterprises to unify data across sources and use it to power AI-driven use cases without creating fragmented data pipelines.

The company said Ahuja will work with customers to translate AI strategies into production systems, as demand increases for data-driven AI applications across industries.