Key takeaways from the 2025 Thorogood Data & AI Update Events

This presentation provides a professional and comprehensive overview of the current AI landscape. The talk moves beyond the industry hype to focus on the key factors organizations must consider to leverage AI effectively. The discussion covers the entire value chain, from the foundational model developers and infrastructure providers to enterprise-level implementation.

This video demystifies the next generation of AI: Agentic AI. It moves beyond the industry discussion to provide a clear, professional overview of what this technology is and how it’s being applied to solve real-world business challenges.

Robbie Shaw presents a case study on a tool built for a global consumer health company to help them unlock a treasure trove of consumer insights. The company had a vast archive of consumer interview transcripts, but the information was difficult to access, leading to a cycle of expensive and time-consuming new research.

This video offers a comprehensive and professional look at the forces shaping the modern data and AI landscape. It moves past a focus on individual technologies to present a strategic framework for success, ensuring that AI initiatives deliver measurable business value. The presentation highlights the critical gap between high-level enterprise strategy and the practical challenges of on-the-ground solution delivery.

In this video, Sanjay Sajeevan offers a comprehensive and professional look at the forces shaping the modern data and AI landscape. It moves past a focus on individual technologies to present a strategic framework for success, ensuring that AI initiatives deliver measurable business value. This presentation highlights the critical gap between high-level enterprise strategy and the practical challenges of on-the-ground solution delivery.

This video explores how AI can solve the complex challenges of master data management, specifically focusing on attribute mapping and enrichment. Brendan Lundquist highlights that while master data is crucial for providing a single source of truth and a rich perspective for analysis, it often suffers from a lack of governance and is difficult to maintain at the necessary pace. AI, however, is able overcome these challenges.