From Silos to Intelligence: Orchestrating the Data Supply Chain for Agentic AI

Executive Dinner

July 9, 2026 - London, UK

Visionaries

Caroline Denoon-Slater Broadcom
Caroline Denoon-Slater

Global Solutions Architect

Broadcom

About Me

Caroline Denoon-Slater is a forward-thinking Data & AI Automation Specialist at Broadcom, serving as a Global Solution Architect with over 30 years of experience. Renowned for her ability to align strategic vision with operational excellence, Caroline empowers organizations to transform their data landscapes through cutting-edge automation and insightful strategy. She specializes in transforming complex business needs into scalable, secure data platforms that drive resilience and innovation. As a thought leader passionate about ethical AI and inclusive data cultures, Caroline blends deep operational insight with strategic foresight to help organizations unlock true value from their data. She’s also an active advocate for community-led tech initiatives, positioning herself at the forefront of the industry’s most impactful conversations.

July 9, 2026

Agenda

All times United Kingdom Time

6:00 PM - 9:30 PM

From Silos to Intelligence: Orchestrating the Data Supply Chain for Agentic AI

The transformative promise of Agentic AI relies entirely on one critical foundation: AI-ready data. Yet, as enterprises push to operationalize autonomous systems, many data organizations remain paralyzed by fragmented pipelines, manual data wrangling, and a severe "data integrity gap." To turn AI into a competitive advantage, data leaders must transition from reactive data management to orchestrating a continuous, high-fidelity data supply chain. Join a select group of Chief Data Officers, VPs of Data Engineering, and DataOps leaders for an exclusive evening of networking and peer-driven discussion. Over dinner, we will exchange insights and benchmarking strategies on: • Bridging the Data Integrity Gap: Moving beyond traditional data silos to orchestrate seamless, automated pipelines that deliver the speed, quality, and context autonomous AI models demand. • Governing the AI Data Supply Chain: Discussing frameworks for eliminating manual bottlenecks and enforcing strict quality controls across the fragmented data ecosystems feeding Agentic AI. • Operationalizing AI-Ready Data: Exchanging strategies for guaranteeing business-critical data SLAs, accelerating AI deployment, and demonstrating measurable ROI through data-driven intelligence.

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