Data & AI Update 2026 Takeaways
Please see below assets and content that reflect what was shared during the June 4th 2026 Thorogood Data and AI Update in London, and later during the August 20th 2026 Thorogood Data & AI Update in Singapore.
The State of Data and AI with Trevor Jones
The AI market is evolving rapidly, knowing how and where to invest and understanding the economics of businesses in the space is imperative.
In this session, Trevor Jones unpacks the AI landscape, from model developer competition to data center power constraints, and reveals the strategic principles for making AI work for your business, not the other way around.
Whether you’re evaluating AI investments, navigating vendor choices, or trying to separate real opportunity from hype, you’ll discover the frameworks and insights that leading organizations Thorogood collaborates with use to deliver genuine business value from AI.
The Role of Developers in 2026 with Andrew Kennedy
In this session, Andrew Kennedy examines the utility of AI coding tools in 2026, evidencing productivity gains and where they can be realized. He looks at real research, shares practical examples from Thorogood’s own experience, and explores where these tools genuinely help developers and where they’re less useful.
Whether you’re considering adopting AI coding tools or already using them, this talk offers some useful perspective on what to expect.
Customer 360: Leveraging Data to Enhance the Retailer-CPG Relationship with Liz McCreesh
Discover how Liz McCreesh and the Thorogood team helped one of the world’s largest CPG manufacturers break down data silos and transform the way they collaborate with retailers. Learn the real-world challenges of integrating internal and external retail data across multiple sources, and see how a phased, business-focused approach delivered immediate impact: from agile insights to executive-level adoption.
Learning from ‘AI Workbenches’ with Ethan Hinton
In this session, Ethan Hinton explores why most enterprises should consider building proprietary ‘AI workbenches’ rather than relying solely on packaged offerings. Discover the real blockers to AI adoption in organizations, see live demos of specialized workflows (such as research paper generation, slide deck creation in a workbench built for a global consumer goods organization), and learn the governance framework needed to scale AI safely across your workforce.
Agentic Governance Framework with Sanjay Sajeevan
In this session, Sanjay Sajeevan reveals how a global consumer goods company transformed from managing a single proof-of-concept to operating 20+ agentic systems, and the governance framework that made it possible. Discover how to balance team autonomy with organizational control as you scale agents across projects, prevent costly runaway deployments, and maintain visibility across your entire agent ecosystem.
Supply Chain Data & AI Enablement with Somnath Amancherla
In volatile logistics environments, supply chain disruptions cascade unpredictably, triggering inventory shortages, manufacturing delays, and cost overruns before teams even see them coming.
In this session, Somnath Amancherla shows how a global manufacturing enterprise broke free from manual data silos to deploy an AI logistics agent that answers critical operational questions in seconds, not days. Reactive firefighting transforms into proactive decision-making at scale.