AI Strategy & Practice Conference Comes to London

SPEC27 UPDATE · 29 SEPTEMBER 2026
On 21 October 2026, Safe Intelligence is bringing together people with direct experience of building, deploying and governing AI at the AI Strategy & Practice Conference, held at Ham Yard Hotel in London.
The conference will focus on the practical work behind successful AI deployment: what organisations are learning, where meaningful results are emerging and how teams can move forward while managing quality and risk.
From AI ambition to practical deployment
The programme will explore three central questions:
Where are organisations seeing meaningful benefits from AI, and how do they know it is working?
How can teams move quickly while maintaining quality, integrity and appropriate oversight?
What could the next three to five years bring, and how should organisations prepare?
The emphasis throughout the day will be on lessons from people working directly on AI strategy, implementation and governance.
Our first announced speakers
The first speakers joining us include:
Richard Masters, formerly Vice President, Data & AI at Virgin Atlantic
Mira Pijselman, Managing Director, AI Governance Engineering at Ankura
Stuart McMeechan, EMEA Applied AI Engineering Leader at OpenAI
More speakers from Sky, BCG, and more, along with programme details will be announced shortly.
A limited number of tickets are available at 50% off
Use the code AISP2650OFF when registering to receive 50% off your event pass. Availability is limited, so we recommend registering early if you would like to join us.
Safe Intelligence featured after HumanX Amsterdam
Following an interview with Steve Willmott at HumanX Amsterdam, SiliconANGLE included Safe Intelligence among ten European companies helping organisations turn their AI ambitions into practical, production-ready systems.
Watch Steve’s panel from AI Enterprise NYC
Steve recently hosted a panel at AI Enterprise NYC exploring where enterprise AI is heading and what organisations need to consider as they move from experimentation towards deployment.
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