Webinars
Commercial pharma teams, in their own words.
Every recording comes with the slides and a full transcript. No form.
52 min Recording · 2026
10x Your Data Engineering With AI
Pointing a coding agent at your ETL is not the productivity story. Chris Bergh and Eric Estabrooks walk through the three things that have to be in place first — isolated environments, FITT architecture, and data testing — and the practitioner habits that come with them.
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9 min Recording · 2026
10x Your AI Data Analysis: The Context Engineering Formula That Works
Why AI data analysis works on benchmarks and fails on real warehouses, and the DT + DX + CTX formula that closes the gap: trusted data, a curated schema, and the business context that turns a generic model into a domain expert. The live session was not recorded, so this video is a NotebookLM reconstruction built from the transcript and the slides.
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39 min Recording · 2025
The FITT Way to Data Products: A New Data Architecture
FITT — functional, idempotent, tested, two-stage — is the architecture DataKitchen has delivered customer work on for over a decade. What each word buys you, how to make SQL behave when it is neither functional nor idempotent, and why full builds from raw data cost less than they look like they do.
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40 min Recording · 2023
Data Products and Data Mesh
Chris Bergh on why complexity kills data team productivity, how a data mesh cuts a team's world down to domains it can own, and why a data product is a flow of value rather than a finished project plan.
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55 min Recording · 2023
Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
James Royster of Karuna Therapeutics on twenty-five years of running commercial pharma analytics teams: ship at 70%, prevent problems instead of getting good at fixing them, and automate anything you will do twice.
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57 min Recording · 2022
Building the Business Case for DataOps
Every data team knows DataOps delivers better analytics faster. Getting the rest of the organization to fund it is a different problem. DataKitchen CEO Chris Bergh and VP of Marketing Beth Pfefferle cover how DataOps builds on the staff and technology you already have rather than replacing them, how to construct the internal case, and how to collect the small wins that show its impact. Recorded January 2022; updated August 2026.
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63 min Recording · 2021
Solve the Analytics Last-Mile Problem with a DataOps Process Hub
World-class engineers and a best-in-class toolchain, and it is still hard to answer an analytic question. Chip Bloche and Chris Bergh argue the bottleneck is process, and walk through a DataOps Process Hub that lets analysts answer stakeholder questions without queueing behind central IT. Recorded November 2021; updated August 2026.
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60 min Recording · 2021
DataOps: The Foundation for Your Agile Data Architecture
Chris Bergh walks through four data architecture patterns that promise agility: DataOps, Data Fabric, Data Mesh, and Functional Data Engineering. He covers where each one fits, how they work together, and what a DataOps platform underneath them is actually for. Recorded July 2021; updated August 2026.
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55 min Recording · 2021
DataOps: The New Normal in Pharma
Chris Bergh walks through how four pharmaceutical companies apply DataOps across R&D, commercial, and manufacturing data: fewer data errors, new analytics delivered faster, and collaboration across teams working in different tools. Recorded June 2021; updated August 2026.
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63 min Recording · 2021
Connecting Your Data Mesh with DataOps
A data mesh organizes data work into decentralized domains, but it says nothing about the operational processes behind the architecture: how you orchestrate, test, develop, and deploy within and across domains. Chris Bergh works through what a data mesh and DataOps each are, how they fit together, and what keeps a mesh from turning into a mush. Recorded May 2021; updated August 2026.
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61 min Recording · 2020
The Celgene Story: Building a $1B Product Launch Success with DataOps
Rajesh Gill, Associate Director of Commercial Insights at Celgene, on how the team used DataOps to support the Otezla launch. Recorded June 2020; updated August 2026.
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