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Ebook
Building a data science culture that ships models and meets Regulatory demands
Posit Product Marketing hosted insurance leaders Kshitij Srivastava, Adam Austin, and Jamie Warner to discuss the evolution of data science within heavily regulated industries.
Ebook
The data science leader’s 6-step guide to scaling workflows with Posit on Snowflake
Clinical trial reporting is under pressure like never before. Timelines are shrinking, costs are rising, and compliance requirements are only getting stricter.
Whitepaper
How to deploy data science applications with enterprise governance
BARC's blueprint for eliminating deployment bottlenecks—integrating open-source tools with enterprise security to deliver high-value applications faster.
Whitepaper
A Blueprint for Modern Data Science
Data science teams have long relied on R, Python, and open-source innovation to deliver insights. But many work in silos, with disconnected workflows and limited oversight—slowing delivery and increasing risk.
Ebook
Next generation data science: The AI-driven data science life cycle
From optimizing supply chains to detecting fraud, companies that use AI are already seeing major benefits.
Ebook
Accelerate compliant clinical trial reporting with open source
Clinical trial reporting is under pressure like never before. Timelines are shrinking, costs are rising, and compliance requirements are only getting stricter.
Whitepaper
A guide to Positron: The data science code editor
Learn how Positron unites the interactive power of RStudio with the modern efficiency of VS Code, creating a single, free, polyglot environment for R and Python.
Whitepaper
Empowering Data Science at Scale
See how Posit helps modern data science teams tackle the biggest challenges in interoperability, reproducibility, and collaboration, as highlighted in this DZone report.
Whitepaper
From insight to impact: Faster
Learn why centralized, automated publishing is now essential for data teams, and how organizations use Posit Connect to deliver trusted analytical content from R and Python at scale.