Continuing to out-innovate single-purpose databases by rapidly adding powerful new AI capabilities to its market-leading converged database, Oracle is helping customers jump into the AI Economy by helping them “activate” their data with agentic AI enhancements to its AI Database.
Only a few years ago, we were hearing various “experts” predict the imminent demise of the Oracle Database due to the inexorable rise of purpose-built databases that, according to this dubious theory, would inspire customers to buy and deploy several or even dozens of single-use databases.
But since the earliest days of the AI Revolution, Oracle has dramatically accelerated the pace of its database product-development and rollout schedules to give customers the unmatched combination of all those innovations plus the immense value of incumbency.
In its latest launch, Oracle is pumping up the Oracle AI Database with agentic AI capabilities that let customers rapidly build apps around their data with full, uncompromised security plus full access to open-source data stores that customers might want to employ.
In my view, the key element here is what Oracle Executive Vice President Juan Loaiza described as the ability for customers to “activate” their data to drive the new top priority for databases in the AI Economy: driving enhanced business outcomes. That new and intense focus on business outcomes is clear in this comment from Loaiza from the recent Oracle press release:
“The next wave of enterprise AI will be defined by customers’ ability to use AI in business-critical production systems to safely deliver breakthrough innovations, insights, and productivity. With Oracle AI Database, customers don’t just store data, they activate it for AI. By architecting AI and data together, we help customers quickly build and manage agentic AI applications that can securely query and act on real-enterprise data with stock exchange-level robustness in every leading cloud and on-premises.”
In a related blog post, Oracle Executive Vice President Hasan Rizvi expanded on the performance enhancements customers can expect to achieve with the new agentic AI capabilities that “transform how organizations like yours build, deploy, and scale AI safely and securely” and ” help you innovate faster with AI designed for data, minimize AI data risk, and end AI data lock-in with open standards and frameworks.”
Rizvi went on to expand on the advantages customers can expect to gain, particularly by making openness and customer choice absolute top priorities so that businesses can choose the approaches they feel are best for their own enterprises.
“Over the last several years, we have made Oracle AI Database available in every leading cloud and on-premises so you can choose where your data and AI workloads run,” Rizvi wrote.
“But flexibility goes beyond deployment locations. To help end data lock-in, Oracle AI Database gives you choice across the full stack: your preferred cloud or platform, your preferred AI model, and your preferred application-tier agentic framework. You can build and run agentic AI apps using open standards, languages, APIs, and data formats.”
Final Thought
As Oracle continues to crank up its database innovations performance, I was intrigued to see Loaiza specifically promise “stock-exchange-level robustness” as noted above:
“We help customers quickly build and manage agentic AI applications that can securely query and act on real-enterprise data with stock exchange-level robustness in every leading cloud and on-premises.”
That is a huge promise — and I suspect it was not a coincidence that Loaiza used that specific language. Clearly it highlights Oracle’s ongoing emphasis on world-class security with its new innovations — and I think it also might presage some future product directions from Oracle.
Good luck to the single-purpose competitors looking to keep up with all that.
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