95% of enterprises aim to control their own AI and data platforms within three years

News provided byEnterpriseDB Inc · 2 min read

As agentic workloads transition from pilot to production, enterprises are increasingly turning to self-governed AI and data platforms, with EnterpriseDB’s EDB Postgres® AI at the forefront of this trend. According to the company, 95% of enterprises intend to become their own AI and data platforms within the next three years, but only 13% have achieved this goal to date.

"Most organizations already have the necessary technologies for AI, but few have integrated them into a single, governed system," said Kevin Dallas, CEO of EnterpriseDB. "For agents, this integration is crucial for enabling real-time data actions under enterprise policy."

Enterprises are eager to control their own AI and data futures, and EDB PG AI is facilitating this transition. The platform is being adopted both to maintain current systems and to establish a foundation for future AI operations. New case studies from Europe and Asia highlight the shift from strategy to implementation.

PAC 2000A Conad, a retail company in Italy, has integrated EDB PG AI into its data foundation, supporting over 1,600 stores and 7,000 connected devices. The company chose EDB PG AI for its ability to provide continuous availability and NIS2-aligned backup and recovery. PAC 2000A Conad plans to extend this foundation into additional application areas and introduce AI agents operating in sovereign mode.

"We decided on EDB Postgres AI because of its robust technology, but the collaboration was what truly made the difference," said Luca Cibruscola, chief information officer of PAC 2000A Conad.

In South Korea, C Platform, a technology distributor with a broad reach across Korean enterprises, sees a growing demand for hybrid and on-premises capabilities. The company notes that fragmented data environments are hindering AI projects, even when the business case is approved. EDB PG AI allows C Platform to propose a unified platform for operational data, analytical workloads, and AI foundations.

"These enterprises are part of a growing global roster running mission-critical and analytical workloads on EDB PG AI," said Dallas. "Our clients include the Industrial Bank of Korea, Shinhan EZ Insurance, NTT East, MNTN, Euronext FX, and Kyobo Book Centre."

EnterpriseDB's platform has received industry recognition, including the DBTA Readers' Choice Award, which honors EDB PG AI as the top choice for database performance. The company has also been recognized for its sustainability efforts, with an independent study showing a potential 87% reduction in data-center emissions. Additionally, EDB was named a Thought Leading Company of the Year by Thinkers360 and was honored for its "intelligence per watt" framework, which helps organizations measure the energy and economic cost of their data estates.

"EDB Postgres® AI is the sovereign data and AI platform for the agentic enterprise, built on the world's leading open source database," said Dallas. "It unifies transactional, analytical, and AI workloads in a single architecture, reducing data movement, ETL, and operational fragmentation."

With its commitment to open source and active contributions to the PostgreSQL project, EnterpriseDB is well-positioned to support enterprises in their journey to sovereign AI.

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