That's a wrap on Rev London

Enterprises have the models, the talent, and the budgets. What's missing is the operational foundation to turn AI investment into measurable business impact. Discover how a full enterprise AI application platform empowers teams to build, govern, and scale AI-powered decisioning systems.

Eduardo Arino de la Rubia of Central European University, and formerly Sr. Director of Data Science at Meta, will share how data science organizations and data scientist skillsets must evolve for the agentic era, and discuss diagnostics for calibrated confidence - in a time of multidimensional uncertainty.

AI amplifies what's already there—good or bad. Hear honest lessons from building two contrasting systems: a deterministic pricing engine and an agentic financial planning tool. Discover where AI genuinely elevates, where it amplifies chaos, and why governance and observability make all the difference.

When the compliant path is too painful, scientists find another way. AstraZeneca shares how it built a self-service environment where compliance is the default, not a barrier, and what that shift has enabled across drug discovery, development, and enterprise AI at scale.

The real AI bottleneck isn't the model—it's infrastructure. Hear first-hand lessons from building an enterprise data science platform across decentralised teams in analytics, risk, and audit, and learn why organisations consistently underestimate the skills and investment required to scale.

As AI reshapes data science, BNP Paribas Cardif's AI Engineering team is enabling app-based, self-service AI. Learn how they developed a production-ready prototype of their verbatim analyzer, designed to process feedback from all respondent types. Powered by an LLM-enhanced hybrid engine combining generative AI and statistical modeling, this solution demonstrates how deploying app on Domino accelerates value delivery across the business.

Modernising a statistical computing environment is more than a technology upgrade. Discover how pharma companies are evolving legacy SCEs in regulated contexts—consolidating technical debt, containing scope, and building the right foundations across people, process, and IT.

In the pharmaceutical world, the need for multimodal data has increased drastically, partly by the enablement of AI. How can we avoid the pitfalls and meet the expectations from both sides: flexibility for the researchers and robust datasets without major management burden for the engineers? Orion shares best practices and lessons learned.

Many have been surprised by the so-called "recent" rise of AI. But those paying attention have seen this coming for many years - and it is tightly coupled with NVIDIA's pioneering of accelerated computing. Learn why this is the case, and what's most crucial to consider for your enterprise to thrive during this time of unrelentingly rapid change.

Moving from fragmented infrastructure to a unified AI-powered platform that serves the world's largest brands is no easy feat. WPP will share their journey to build a client intelligence platform - covering data centralization, change management, and the next frontier: custom propensity models trained on client data, and AI-driven media activation.