Whether it's a gross-to-net trend for the access team or a territory performance review for commercial ops, the process is the same: someone needs an answer, files a request, waits in a data engineering queue, and the business moves on without the insight.
In this session, you'll walk away with a practical blueprint for breaking that cycle — using agentic AI to move from ad-hoc data requests to always-on commercial and market access intelligence. We'll show you how pharma teams are:
- Collapsing the data-to-insight bottleneck — going from raw data (claims, contracts, prescriber activity, sales performance) to a validated, governed analytics model in a single conversation instead of a multi-week data engineering queue
- Putting role-specific analytic apps in the hands of the people who act on data — purpose-built for the account director tracking formulary position, the brand lead monitoring launch trajectory, or the field ops manager identifying coverage gaps — with embedded root cause analysis, variance decomposition, and forecasting they can open every morning without touching a BI tool
- Automating recurring investigations, not just reports — payer performance reviews, HCP targeting analyses, contract compliance monitoring, and brand deep-dives that run on schedule and deliver board-ready findings to the right inbox, personalized by role and region
We'll ground every example in the analytical methods underneath — variance decomposition, root cause analysis, anomaly detection, and forecasting — so you can evaluate the rigor, not just the interface.
This isn't a product demo. It's a working framework you can map against your own data, your own team structure, and your own reporting cadence. Whether you lead market access strategy, commercial analytics, or the ops team that supports both, you'll leave with a clear picture of what's now possible — and what it takes to get there.
Speakers:
Chris Walker, Head of Product Marketing, Tellius
Chris Walker leads Product Marketing at Tellius, where he shapes positioning and go-to-market strategy for the company's AI analytics platform across life sciences. He works closely with pharma commercial and market access teams to translate their success stories onto stages like Gartner, Reuters Events, and PMSA. Previously a Senior Product Marketer at Dataiku and a GTM lead at Gartner, Chris holds an MBA from Carnegie Mellon University.
Nick Pinero, VP, Technical Solutions, Tellius
Nick Pinero is VP, Technical Solutions at Tellius, where he helps pharma commercial teams translate complex data into faster, AI-driven decisions. He works directly with leading pharmaceutical companies — including Novartis, Novo Nordisk, Regeneron, Biogen, Genentech, and AbbVie — guiding them through deployment and helping field force, brand, and commercial analytics teams get more value from their data. Prior to Tellius, Nick was a Lead Data Scientist at IBM, where he built AI and machine learning solutions across healthcare, life sciences, and financial services.
