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 […]
Many organisations heavily invest in data platforms, often starting with a greenfield project alongside new leadership arrival or transformation programmes. And yet, so many of these fail, despite significant time and money invested. As a data and product consultant, I’ve worked with organisations at every stage – from the initial platform design to being brought […]
LLMs are being shipped to production faster than teams can secure them. In this talk, we’ll walk through the OWASP Top 10 LLM risks — not as a dry checklist, but through the real-world incidents that put them on the list. Then we’ll go further: watch a deliberately vulnerable AI app get attacked live on […]
Artificial intelligence and quantum computing are advancing rapidly, and their convergence is opening new opportunities in computation and problem solving. This session provides a clear, non-technical overview of quantum computing concepts and how they can complement AI. Attendees will learn about recent advancements in the field, including progress toward fault-tolerant quantum computing, and how these […]
In this session, we’ll introduce dunnhumby’s Sentiment Analysis Suite — a new approach to understanding the fast‑moving world of social conversations across platforms like X, Reddit, forums, reviews, and news. Built with Large Language Models, the suite goes beyond standard sentiment scoring to capture nuance, tone, and the cultural signals shaping how consumers talk about […]
As large language models move from experimentation to production, the real challenge is no longer capability – it’s trust. In this session, we’ll share a practical framework for building LLM-powered features that are reliable, measurable, and safe from day one. Attendees will learn how Attest designed responsible AI products through clear ethics principles, embedded guardrails, […]
Most privacy-preserving AI systems are built on good intentions and untested assumptions what happens when you actually measure what you are protecting and discover the gap is catastrophic? In production IoT deployments, sensitive data exposure is rarely a policy failure; it is an architecture failure, and standard approaches to differential privacy and post-hoc anonymisation consistently […]
We are going through a massive transformation. Everything we know is changing. From the way we work, to the way we perform our jobs, to how we live our lives. From macro-economics and politics, to an unstable job market, and an evolving technological landscape. These situations present lots of risks and threats. But also massive […]