As financial services become increasingly data-intensive, traditional tools like spreadsheets often can’t keep pace with growing datasets and complex analysis requirements.
Hear from John Wengler, Executive Director at the Canadian Imperial Bank of Commerce (CIBC), who streamlined his workflows and significantly reduced his work time using Python and Anaconda. He will share how he successfully navigated the challenges of driving innovation while maintaining governance in a traditional corporate environment. Discover how teams can use Anaconda to tackle complex data challenges with improved workflows, achieve meaningful cost savings through automation, and build proof-of-concept models with secure Python packages.
Key Takeaways:
How financial services teams can manage complex datasets, automate workflows, and combine disparate data sources using Python—even in risk-averse environments with limited IT resources
Real-world strategies for addressing internal audit concerns and gaining buy-in for Python adoption
Overview of Anaconda's enterprise solutions for financial services: secure package management, governance tools, and collaboration features that scale
Meet Our Speakers
John Wengler
Executive Director at Canadian Imperial Bank of Commerce
Tiffany McEachern
Senior Product Marketing Manager at Anaconda