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Ellison Delivers Vision for Enterprise Adoption of AI

September 10, 2024

It’s Oracle CloudWorld week, and I was excited to hear from industry legend, Larry Ellison, on his view of the future of computing and the AI era. Oracle holds a distinct view of the enterprise and adoption of technology, so there are likely very few people who can project enterprise adoption curves better than Larry.

The keynote did not disappoint. Larry emphasized Oracle’s vision of AI for the enterprise, where practical AI solutions are designed to address real business needs. He highlighted the integration of generative AI across Oracle’s cloud applications, with tools supporting functions like finance, HR, marketing, and customer service.

This was lack of splash of the Open.AI crowd and more meat and potatoes for grizzled IT veterans. Larry emphasized that Oracle’s AI focus is on transforming business processes, not just hype-driven tools, and delivering AI-driven automation at scale.

Larry also spotlighted Oracle Cloud Infrastructure (OCI) as a trusted platform, built to handle sovereign cloud needs and ensure secure, region-specific data processing. This commitment to AI readiness has positioned Oracle as a trusted provider for industries like healthcare, finance, and government. Oracle’s approach underscores its reliability and adaptability in helping enterprises deploy AI efficiently, combining performance with the security enterprises demand.

One of the most compelling aspects of Larry’s speech was the focus on vector search, a method Oracle uses to process large volumes of unstructured data, seamlessly embedding AI into database environments like Oracle Database 23ai. This ensures that enterprises don’t need to move their data to leverage AI — AI can operate directly within the database environment, optimizing workflows for speed and scalability.

Oracle’s generative AI technology is geared to simplify complex tasks, automate workflows, and enhance decision-making. For example, Oracle Fusion Applications integrate AI for tasks like project proposal generation, strategy development, and content summarization, tailored to support business functions directly.

One thing I thought was interesting was Oracle’s ambition to follow a similar path with AI as it did with the cloud — building a trusted ecosystem that delivers real value for enterprise applications. Larry noted that while Oracle’s focus isn't on flashy AI tools for consumers, its enterprise-first strategy offers the reliability and scale required for mission-critical applications, very similar to its path with delivery of cloud services that met specific enterprise requirements.

What’s TechArena’s take? I think of a lot of companies before Oracle in terms of pure AI innovation. Those born on the cloud who lean forward into the tip of innovation will likely deliver the most impactful transformative tech in the near term. But…for those meat-and-potatoes workload enhancements with AI automation and agent control, I think Oracle will make an outsized impact on adoption. Time will tell if Oracle can once again re-imagine itself for this latest era of computing and prove to continue its centrality on enterprise application and service delivery.

It’s Oracle CloudWorld week, and I was excited to hear from industry legend, Larry Ellison, on his view of the future of computing and the AI era. Oracle holds a distinct view of the enterprise and adoption of technology, so there are likely very few people who can project enterprise adoption curves better than Larry.

The keynote did not disappoint. Larry emphasized Oracle’s vision of AI for the enterprise, where practical AI solutions are designed to address real business needs. He highlighted the integration of generative AI across Oracle’s cloud applications, with tools supporting functions like finance, HR, marketing, and customer service.

This was lack of splash of the Open.AI crowd and more meat and potatoes for grizzled IT veterans. Larry emphasized that Oracle’s AI focus is on transforming business processes, not just hype-driven tools, and delivering AI-driven automation at scale.

Larry also spotlighted Oracle Cloud Infrastructure (OCI) as a trusted platform, built to handle sovereign cloud needs and ensure secure, region-specific data processing. This commitment to AI readiness has positioned Oracle as a trusted provider for industries like healthcare, finance, and government. Oracle’s approach underscores its reliability and adaptability in helping enterprises deploy AI efficiently, combining performance with the security enterprises demand.

One of the most compelling aspects of Larry’s speech was the focus on vector search, a method Oracle uses to process large volumes of unstructured data, seamlessly embedding AI into database environments like Oracle Database 23ai. This ensures that enterprises don’t need to move their data to leverage AI — AI can operate directly within the database environment, optimizing workflows for speed and scalability.

Oracle’s generative AI technology is geared to simplify complex tasks, automate workflows, and enhance decision-making. For example, Oracle Fusion Applications integrate AI for tasks like project proposal generation, strategy development, and content summarization, tailored to support business functions directly.

One thing I thought was interesting was Oracle’s ambition to follow a similar path with AI as it did with the cloud — building a trusted ecosystem that delivers real value for enterprise applications. Larry noted that while Oracle’s focus isn't on flashy AI tools for consumers, its enterprise-first strategy offers the reliability and scale required for mission-critical applications, very similar to its path with delivery of cloud services that met specific enterprise requirements.

What’s TechArena’s take? I think of a lot of companies before Oracle in terms of pure AI innovation. Those born on the cloud who lean forward into the tip of innovation will likely deliver the most impactful transformative tech in the near term. But…for those meat-and-potatoes workload enhancements with AI automation and agent control, I think Oracle will make an outsized impact on adoption. Time will tell if Oracle can once again re-imagine itself for this latest era of computing and prove to continue its centrality on enterprise application and service delivery.

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