Oracle ramps up investments in AI in India 

Texas-based tech giant Oracle is ramping up its investments in artificial intelligence (AI) technology in India, aiming to support enterprises in scaling AI and generative AI (GenAI) solutions. Chris Chelliah, senior vice president (V-P) of technology and customer strategy for Oracle Japan and Asia Pacific, highlighted the company’s comprehensive approach to bringing AI to the enterprise across various layers of the technology stack, including software-as-a-service (SaaS) applications, AI services, data, and infrastructure. Speaking at the Oracle Data & AI Forum in Bengaluru, Chelliah emphasised Oracle’s commitment to advancing AI capabilities within its offerings.

The latest release of Oracle’s converged database, Oracle Database 23ai, reflects the company’s strategic focus on AI integration. This release introduces Oracle AI Vector Search along with over 300 additional features aimed at simplifying AI utilisation with data, expediting application development, and supporting mission-critical workloads. Notably, the AI Vector Search feature facilitates secure integration of search functionality for various types of data, including documents and images, within Oracle databases, eliminating the need for data movement and duplication. This approach enhances the real-time performance, efficiency, and security of AI applications.

Oracle Database 23ai is accessible through Oracle Cloud Infrastructure across platforms such as Oracle Exadata Database Service, Oracle Exadata Cloud@Customer, and Oracle Base Database Service, as well as on Oracle Database@Azure. The company’s financial year concludes on May 31, aligning with its ongoing strategic initiatives.

In line with its global expansion plans for AI capabilities, Oracle is poised to invest approximately $10 billion in data center expansion efforts. With 68 customer-facing Cloud regions, including two recently launched this year, Oracle aims to meet the growing demand for AI workloads and enterprise migrations. The company intends to bolster capacity at 66 existing data centers to accommodate the rising demand, reflecting its commitment to advancing AI technology infrastructure worldwide.