AI at the Turning Point: From Systemic Risk to Your Operating Model (Panel & Drinks)
Ahead of Big Data London, Neurons Lab and Projective Group invite you to an evening panel discussion and drinks with senior Financial Services leaders, featuring an exclusive first look at "Think Again," the new paper on AI-era resilience in UK Financial Services.
The paper's hypothesis: AI doesn't create the sector's biggest risk, it accelerates one that's already there, the same cognitive monoculture that helped drive the 2008 crisis. Left unmanaged, concentrating AI decision-making on a narrow cluster of talent and models risks scaling that bias.
In Part 1, Samantha Emery, Nadia Edwards-Dashti and Bill Oates unpack that argument, making the case that diversity of thought is the sector's sharpest defence against algorithmic herd behaviour.
Neurons Lab's Alex Honchar joins that conversation from the technologist's seat, grounding the argument in what concentration risk and model monoculture actually look like inside an AI build.
In Part 2, Neurons Lab and Projective Group answer that motion directly, setting out the practical framework: AI-Augmented, AI-Enabled or AI-First. What's your Target AI Operating Model?
Join us for the 1hr panel discussion, followed by drinks and plenty of time to share ideas with peers.
🤝 Presented by Neurons Lab × Projective Group
🎤 Panel Samantha Emery, Nadia Edwards-Dashti, Alex Honchar (CTO & Co-founder, Neurons Lab), Bill Oates (Projective Group)
📍 Venue Projective Group, London
📅 Date Tuesday, 22 September
🕔 Schedule 5:00 PM Arrival & welcome · 5:30 PM Panel discussion
🥂 Drinks & networking to follow
Meet the Panel
Samantha Emery: FS executive, NED and advisor; Independent Director, ClearBank UK. Co-author, "Think Again."
Nadia Edwards-Dashti: Co-Founder & CCO, Harrington Starr Group; host, FinTech's DEI Discussions. Co-author, "Think Again."
Alex Honchar: CTO & Co-Founder, Neurons Lab.
Bill Oates: Cloud & AI Capability Lead, Projective Group. Co-author, "Think Again."
What We'll Discuss
Why AI risks accelerating existing sector bias, not creating it, and the lessons from 2008
AI concentration risk, and what it means for your firm
Defining the right level of AI ambition and operating model
The characteristics of AI-Augmented, AI-Enabled and AI-First organisations
Practical lessons from AI implementation, including HSBC, AXA and Visa
Open discussion and shared perspectives throughout
Attendance is limited to a curated group of senior Financial Services, technology and transformation leaders.