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Cloudera Positions Hybrid, Sovereign and Agentic AI as the Next Phase of Enterprise Adoption

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Cloudera Positions Hybrid, Sovereign and Agentic AI as the Next Phase of Enterprise Adoption

At Cloudera EVOLVE Forum Mumbai 2026, the company outlined its vision for AI anywhere, cloud anywhere and data anywhere, highlighting the need for a secure, trusted data environment as enterprises move from AI experimentation to production. Positioning itself as the “only true hybrid data platform provider,” Cloudera said organizations need the ability to deploy workloads across on-premises, public cloud and sovereign cloud environments while maintaining a single layer of security and governance. The company also highlighted its latest innovations around Cloudera Anywhere Cloud, designed to be “hybrid by default, modular by design and sovereign by deployment,” enabling customers to bring AI to the data rather than moving data to AI.

 

“We bring AI to data rather than pushing data all the way to AI”

Mayank Baid  
Regional Vice President, India and South Asia, Cloudera

“We bring AI to data rather than pushing data all the way to AI,” said Mayank Baid, Cloudera’s Regional Vice President for India and South Asia, calling it the real differentiator for enterprise AI. He pitched the company as the “only true hybrid data platform provider,” letting customers deploy models on-premise or in the cloud under a single layer of security and governance.


Baid said India is one of the company’s largest and fastest-growing markets globally, including in revenue generation. He attributed the momentum to the sheer volume of data in the country and to Cloudera’s ability to give customers a secure, trusted environment for building their data foundations.
He said three-fourths of India’s largest banks use the platform, along with most leading telcos in India and South Asia. Other customers include fintechs, GSTN and the Bombay Stock Exchange, he said.


Baid linked demand to the government’s push for sovereign AI and sovereign cloud, which he said Cloudera supports through built-in security and governance. He also noted that much of the company’s global investment is going into India, with R&D centers in Bangalore and Chennai.

 

“Hybrid by default, modular by design and sovereign by deployment”

Remus Lim
Senior Vice President, Asia Pacific and Japan, Cloudera

Cloudera’s new Anywhere Cloud is “hybrid by default, modular by design and sovereign by deployment,” said Remus Lim, the company’s Senior Vice President for Asia Pacific and Japan. He said the platform is built for regulated customers who keep most of their data on-premises.


Lim outlined how Cloudera has evolved to meet those needs. Founded in 2008, it merged with Hortonworks and went private in 2021 under KKR and CD&R, after which it built the Cloudera Data Platform around a hybrid vision.


He said APAC customers, largely banks, telcos and government bodies, take a pragmatic approach to cloud, keeping most data on-premises while avoiding dependence on a single cloud vendor. Central banks including RBI, MAS and RBA run the platform, he said, and EV makers are a growing segment. About $1 billion has gone into acquisitions, Lim said, including Taikun, which underpins Anywhere Cloud. He also announced a Mistral partnership. Cloudera’s priorities, he said, are AI, cloud and data anywhere, so that data does not have to move for AI to work. IDC named the company a leader in APAC sovereign AI platforms in September.

“We can go from rack to AI inference within 60 minutes”

Sergio Gago  
Chief Technology Officer, Cloudera

Sergio Gago, Cloudera’s Chief Technology Officer, presented Cloudera Anywhere Cloud as the company’s platform for the agentic era, built to run identical code across data centers, sovereign clouds and public clouds (AWS, Azure, Google Cloud) under a single control plane and unified data fabric for governance and lineage.


He said enterprises struggle to move AI experiments into production because compliance, audit and cost questions go unanswered. Cloudera’s answer is to let agents work within existing data governance rather than copying data into separate systems. Built on the Taikun and Octopai acquisitions, the platform offers nine data services, bring-your-own-engine flexibility, query federation across Snowflake, Databricks, Oracle and Teradata, and an agent-first interface that lets users work through prompts.


Gago said Anywhere Cloud can take a customer from bare metal to inference on a Mistral model in about 60 minutes, versus 60 days earlier, a figure he said preview customers, including ExxonMobil, IQVIA and Mastercard, have validated. General availability is set for November 30, 2026, with the platform designed to run alongside existing Cloudera Data Platform deployments.