Our talk at Big Data LDN 2026
The Augmented Architect: Scaling AI Designs with Human Oversight
How can data architects use AI to accelerate solution design while retaining the human judgement needed to create robust, responsible systems?
As AI-generated designs move from experimentation to enterprise scale, what standards, governance and oversight are needed to ensure they remain secure, explainable and fit for purpose?
How can organisations combine AI’s speed with human expertise to modernise their data architecture without compromising quality, accountability or long-term value?
- Presented by Jake Ralston, Principal Data Engineer and Deputy Head of Professional Standards, and Phil Exell, Principal Data Architect at Hippo
- 2:00pm on Wednesday 23rd September
- Data Architecture Modernisation Theatre
Resources for later
AI Community Hub
The AI Community Hub brings together practical guidance, real-world insights and useful tools to help organisations adopt AI responsibly and turn experimentation into meaningful outcomes.
A framework for AI token optimisation
In this insight, we look at why using more tokens doesn’t always lead to better results, and how organisations can reduce waste, manage costs and get more value from AI.
On the internet, nobody knows you’re a dog
This practical guide explores how to start small, reduce risk and build secure foundations for agentic AI. It’s grounded in the principles that make digital services work well: clear purpose, thoughtful governance and people remaining accountable for the decisions that matter.
