Date: March 9–11, 2027
Location: QEII Centre, London, United Kingdom
Type: Data and AI Conference
Website: peakofdataandai.com
What Is Peak of Data and AI 2027?
Peak of Data and AI 2027 is the premier event for data and AI innovators, taking place from March 9 to 11, 2027, at the QEII Centre in London, United Kingdom. The conference is hosted by the creators of FME, the widely used data integration platform, giving the event a distinct grounding in practical, hands-on data engineering rather than abstract theory alone.
The event brings together professionals working at the intersection of data infrastructure and artificial intelligence. Its program is built around expert-led sessions, inspiring keynotes, and structured networking opportunities, all aimed at solving complex data challenges with AI and MCP (Model Context Protocol). By focusing on real-world problem solving, Peak of Data and AI 2027 positions itself as a working conference for practitioners rather than a purely promotional showcase.
London’s QEII Centre provides a central venue for what is expected to be a substantial gathering of the data and AI community. As the event’s name suggests, the organizers frame it as a high point for those pushing the boundaries of what data platforms and AI systems can achieve together.
Why It Matters for AI Professionals
The data and AI landscape is evolving quickly, and much of the difficulty practitioners face lies not in building models but in integrating them with messy, distributed, real-world data. Peak of Data and AI 2027 addresses this directly by centering its content on complex data challenges and the role of AI and MCP in solving them. For professionals who spend their days wrestling with pipelines, schemas, and interoperability, this focus is likely to be more immediately useful than general-purpose AI conferences.
Attendees can expect to gain practical insight into how peers and leading organizations approach data integration and AI adoption, along with the chance to build connections across the data engineering, AI development, and platform communities. The involvement of the FME creators signals a strong emphasis on tooling and applied workflows, which should appeal to teams evaluating how to operationalize AI on top of existing data infrastructure.
What to Expect
The event spans three days and combines keynote presentations with expert-led sessions and networking. Core themes include:
- Solving complex data challenges — practical approaches to the hard problems that slow down data and AI initiatives.
- AI and MCP — how the Model Context Protocol is being applied to connect AI systems with data and tools.
- Expert-led sessions — hands-on and experience-based content delivered by practitioners.
- Keynotes — forward-looking perspectives on where data and AI are heading.
- Networking — dedicated opportunities to connect with other data and AI innovators.
Specific speakers, session tracks, and a detailed agenda have not yet been published. Details to be announced.
Who Should Attend
Peak of Data and AI 2027 is aimed at professionals who work directly with data and AI systems. This includes data engineers, AI and machine learning developers, data architects, GIS and spatial data specialists, and technical leads responsible for data integration. Given the event’s problem-solving orientation, it should also appeal to product managers and technology executives who need to understand the practical realities of deploying AI against complex data environments.
Because the program emphasizes applied sessions rather than introductory content, attendees are likely to get the most value if they already have some familiarity with data pipelines, integration tooling, or AI development workflows.
How to Register
Registration is handled through the official event website at peakofdataandai.com. Pricing tiers, early-bird rates, group discounts, and the full agenda have not yet been announced. Details to be announced — check the official site for the latest information on tickets and scheduling.
