The world has gone agentic (and we are not immune!) At Faculty we have over 12 years of practical experience deploying ML and AI systems into real businesses to solve real problems – we’ve learned a lot about doing it well. But agents are different. Come and listen to our panel of real-world techies discuss: […]
As the enterprise shifts from simple chatbots to autonomous agents, the need for a structured “reasoning layer” has become critical to prevent failures at scale. A Context Graph serves as this missing infrastructure, transforming raw information into actionable intelligence by organising data as an interconnected network of nodes and relationships. While traditional SQL and vector […]
Most organisations that rely on web-scraped data treat it like any other data source: ingest it, clean it, build dashboards on top of it. The implicit assumption is that the target site served the same content to your bot as it would to a human. That assumption is often wrong. In a previous role I […]
This talk covers how to design and run holdout experiments based on practical experience at Deliveroo. Standard A/B tests are optimised for speed — but they systematically miss effects that only emerge over time or through the interaction of multiple features. Holdouts are a tool for closing that gap. The talk covers patterns used at […]
How do you set the right price for a hotel room when you only have three data points? This is the challenge that we face for most hotel rooms which we price: a specific room type on a specific night in a specific booking window might have been sold only a handful of times and […]
In this talk we’ll cover an approach we use to enrich our understanding of conversations, allowing for better navigation of historical conversations and highlight some possibilities that this unlocks to improve the handling of future conversations. Technical Level of Session: Technical practitioner
In the modern Fintech landscape, data is no longer just a byproduct of business – it is the core product. For Funding Circle, developing robust data products is central to navigating the complexities of high-velocity financial analytics. This session dives into the ‘Funding Circle way’ of defining data products and explores their critical role in […]
Most data scientists are still writing code the old way: implement, review manually, commit, repeat. This talk introduces Compound Engineering — an AI-native engineering philosophy built around one deceptively simple idea: each unit of work should make the next unit easier, not harder. Borrowed from the open-source Every.to framework and battle-tested in a production travel-tech […]
Prolific helps the world’s leading AI companies evaluate and improve their models, and crowdsourcing platforms like ours power an estimated 50% of studies in behavioural sciences. This puts us at a unique intersection of AI development and academic research, where the integrity of the human data we generate has never carried more responsibility. This talk […]