Lead with impact

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.

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.

See how agentic workflows on Domino can automate the most painful steps in model risk management: policy enforcement, documentation generation, and adversarial validation. All triggered as a single traced pipeline. From model development through approval, agents generate reports from testing results and metadata already in Domino, run validation probes, and update the governance bundle, turning weeks of manual back-and-forth into a reproducible workflow.

See how RWE teams can move from cohort design to stakeholder-ready insights in Domino with AI-assisted study builds, immutable versioning, and self-service data exploration for medical affairs and payer teams.

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.

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.

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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.