Announcing Our First Speakers: Shaping the Future of Data & AI
We are pleased to introduce the first keynote speakers for our upcoming event. These experts represent the forefront of AI and data management, bringing decades of experience from pioneering organizations like Amazon, Gartner, and Adobe.
Our sessions will focus on moving beyond the hype to build AI systems that are safe, explainable, and grounded in robust data strategy.
William Tunstall-Pedoe
Founder of Unlikely AI | Creator of the technology behind Amazon Alexa
William is a world-renowned AI entrepreneur best known for founding Evi, the startup that provided the core AI technology used to create Amazon Alexa. A Fellow of the Royal Academy of Engineering, he now leads Unlikely AI, where he is developing "neuro-symbolic" methods to ensure AI is safe and reliable enough for critical real-world applications. His work focuses on the intersection of language, reasoning, and making artificial intelligence truly trustworthy for the enterprise.
Malcolm Hawker
CDO of Profisee | Author of ‘The Data Hero Playbook’
Malcolm is a leading expert in Data Strategy and Master Data Management (MDM). As a former Gartner analyst, he has authored industry-defining research and advised some of the world’s largest companies on their data journeys. Malcolm bridges the gap between technical data governance and the strategic growth mindset required for organizations to succeed in a data-driven economy.
Juan Sequeda
Principal Fundamental Researcher, ServiceNow
Juan Sequeda holds a PhD in Computer Science from The University of Texas. His research and industry work has been on the intersection of data and AI, with the goal to reliably create knowledge from inscrutable data, specifically designing and building Knowledge Graph for enterprise data & metadata
Jessica Talisman
Founder of The Ontology Pipeline | Semantic Architect
With over 25 years of experience at Amazon and Adobe, Jessica is a specialist in information architecture and taxonomy. She founded The Ontology Pipeline to help organizations build the "knowledge infrastructure" necessary for AI to function correctly. Jessica is a vocal advocate for data clarity, ensuring that the information powering modern AI is structured, accurate, and reliable.
Connecting Data, People, and Ideas
Connected Data London has always been about moving beyond the hype. While the industry is focused on Large Language Models, our 2026 sessions dig into the structural foundations that make these models work in the real world: the Knowledge Graphs, Semantic Layers, and Neuro-symbolic reasoning that turn raw information into enterprise intelligence.
Join us to explore how we are collectively building more explainable, reliable, and interconnected data ecosystems.