Case Study: PNC Financial Services achieves enterprise-wide data science and faster processing with Anaconda Enterprise

How PNC Financial Services Enables Data Science and Machine Learning Capabilities using Anaconda

PNC Financial Services, a national bank operating across 19 states, needed to expand data science and machine learning capabilities beyond a proprietary analytics stack. The team wanted to make Python a first-class citizen, reduce reliance on legacy tools, and create a secure, governed environment that could support more users across the enterprise. PNC partnered with Anaconda and chose Anaconda Enterprise as its open-source AI enablement platform.

With Anaconda Enterprise, PNC built an enterprise-wide analytics competency center for community, training, support, enhancements, and package maintenance, enabling teams across the bank to access tools, manage packages, build models, and deploy projects from one platform. Anaconda helped PNC port SAS code to Python, improve modeling workflows, and run PySpark simulations on Hadoop, cutting processing times from hours to minutes and reducing runtimes by as much as 90%.

PNC Financial Services