From keynotes to real-world AI journeys—everything you missed at Oracle AI World Tour in London.

Just in case you couldn’t attend the Oracle AI and Analytics Breakfast London and AI World Tour London, here’s your recap – I’ve gathered the key highlights, customer perspectives, and strategic insights so you don’t miss the conversations shaping the future of enterprise AI and analytics.

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AI moving from experimentation to real business outcomes

On March 24th, 2026, the Oracle AI and Analytics Breakfast brought together a full house at the Sunborn London Yacht Hotel, setting the stage for AI World Tour London and a broader discussion on how AI is being applied in practice across enterprises. Opening the session, Rich Clayton, Vice President, Product Strategy, Oracle AI and Analytics, highlighted how AI is no longer viewed as theoretical, but as a practical tool for driving measurable outcomes. The conversation centered on how Oracle Fusion AI Data Platform brings together data, analytics, and embedded AI in a unified environment—helping organizations move from insight to action without the complexity of fragmented systems. This foundation enables faster decisions, improved operational efficiency, and broader adoption of AI across the enterprise. With strong engagement and practical discussions throughout, the session reinforced a key message: this is where AI starts to deliver real value—and where organizations begin turning potential into outcomes.

Customer journeys showing AI in action across maturity levels

Building on that momentum, the customer panel—moderated by Laura Pana, EMEA Analytics Product Strategy Lead—brought real-world perspectives to life, showcasing how customers at different stages are progressing on their AI and data journeys.

Andy Hayes, leading Oracle digital transformation at Norfolk County Council, shared how their focus is currently on strengthening data maturity, governance, and consistency as a foundation for better decision-making. In parallel, Danny Harley, Insights Manager at Heathrow Airport, illustrated a more advanced stage, where governed data pipelines and trusted insights are enabling teams to move beyond spreadsheet-driven processes toward faster, more confident action.

Across both perspectives, a common thread emerged: by using Fusion AI Data Platform, organizations are improving data quality, aligning teams around a single version of truth, and accelerating adoption through intuitive, user-centric experiences. Together, these journeys highlight a shared outcome—shifting from fragmented data to trusted, AI-enabled decision-making at scale.

A new AI era takes shape at AI World Tour London

As attention then shifted to the ExCeL London for AI World Tour London, the broader vision for Oracle’s AI strategy came into focus. Mike Sicilia, Oracle’s CEO, opened the event by setting the stage for a new AI era for Oracle, emphasizing the company’s continued investment in enabling enterprise-grade AI across data and applications. At the Oracle AI World Tour London , Sicilia delivered a forward-looking keynote that captured both the immediacy and the vast potential of AI in the enterprise landscape.

The message was clear and energising: AI is no longer a peripheral tool—it is fundamentally reshaping how organisations operate, unlocking entirely new markets and elevating decision-making across every layer of the business. By enabling real-time responses to complex constraints, AI is driving a profound transformation in how work gets done, shifting the balance so that people can focus on strategic thinking while intelligent systems take on administrative and repetitive tasks.

Central to this vision is the seamless collaboration between humans and AI. Intelligent agents coordinate processes across systems, while humans remain firmly in control of judgement and direction. This powerful combination paves the way for truly visionary change—organisations can innovate faster, act smarter, and deliver outcomes that were previously out of reach. At the same time, AI accelerates the customer journey, enabling faster, more personalised experiences that strengthen engagement and drive value.

What sets Oracle apart is its “AI by design” approach. AI is not bolted on—it is deeply embedded within its solutions, with much of the heavy lifting already done. This means customers can move beyond the complexities of data engineering and instead focus fully on their core business priorities. With AI brought directly to where data resides and woven naturally into existing workflows, organisations benefit from both simplicity and power. At the same time, Oracle’s flexible model approach ensures customers can select the AI capabilities that best suit their specific needs, reinforcing a commitment to adaptability.The result is a compelling outlook: AI becomes not just a tool, but a catalyst for growth and ambition. With an expanding portfolio of AI capabilities, customers are empowered to think bigger, move faster, and reach new heights—turning possibilities into tangible outcomes and redefining what success looks like in the age of intelligent enterprise.

Enabling modern data strategies with Oracle AI Data Platform

In a subsequent panel discussion, TK Anand, EVP AI Data Platform, outlined how Oracle AI Data Platform is helping organizations modernize their data strategies for the AI era. A key advantage lies in its ability to access and analyze data across environments without requiring unnecessary duplication or movement, while maintaining governance and control. By unifying data, analytics, and AI within a single platform, it enables organizations to work with consistent, trusted data and accelerate insight generation. Combined with an open and flexible architecture, the platform supports diverse data ecosystems, helping enterprises accelerate time to value while improving productivity and decision quality.

Enterprise AI success depends on trust, context, and speed

Adding further perspective, Gabby Rubin, Oracle Group VP Oracle Analytics and AI Data Platform shared a grounded view on where enterprise AI stands today and what is required to achieve meaningful impact. While momentum around AI continues to grow, many organizations still face foundational challenges such as data not ready for AI, limited business context, and AI capabilities that are not embedded into everyday workflows. As a result, scaling beyond pilots remains a common hurdle. The conversation is increasingly shifting toward time-to-value—where success is measured not by what AI can do, but by how quickly it delivers measurable outcomes such as improved decisions, reduced costs, and greater operational efficiency. This evolution underscores the importance of trusted data, strong business context, embedding AI into workflows, and intelligent orchestration as core pillars for enterprise AI success.

Your key takeaways: bring your data together, put AI to work, and turn every insight into action.

Bringing these perspectives together, the event delivered a clear message: Oracle’s Fusion AI Data Platform and Oracle AI Data Platform empower organizations to move beyond experimentation and unlock real, scalable value from AI. By unifying data, embedding intelligence into everyday workflows, and ensuring governed access across environments, Oracle lays the foundation for confident, enterprise-wide AI adoption. The result? Faster insights, stronger collaboration, smarter decisions—and the ability to act on them instantly. Now is the time to take a closer look and turn AI ambition into tangible business impact.

Looking ahead: Accelerating the next phase of AI adoption

As AI adoption enters its next phase, the focus is shifting from experimentation to execution. E xpect continued innovation across both platforms—simplifying complexity, strengthening trust in data, and accelerating measurable outcomes across the enterprise. With a unified approach that brings together enterprise and Fusion application data, organizations are better positioned to move from insight to impact faster, and to scale AI with confidence.

So, what could your business achieve if your data, AI, and workflows were fully connected—and ready to act in real time?

Now is the moment to explore Oracle’s Fusion AI Data Platform and Oracle AI Data Platform—and start turning that potential into real business results.

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