Modernizing Applications with AI: Strategies for Smarter Transformation
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, June 26, 2025
Time: 9:00 a.m. PT / 12:00 p.m. ET
Modernizing legacy applications remains a challenge for organizations that want to improve innovation. Despite their role in operations and insight generation, legacy systems often become barriers to progress due to their complexity, lack of scalability, and rigid architectures. Many organizations struggle with operational disruption, data loss, or reengineering core processes. AI is increasingly becoming a powerful tool to help with these challenges. According to TDWI research, 84% of respondents agree that automating data management processes is essential for achieving operational success. These findings highlight an important shift: organizations are starting to trust AI and automation to enhance reliability, efficiency, and scalability across their technology ecosystems.
Join TDWI VP of research Fern Halper and experts from MongoDB as they discuss how to modernize applications effectively by infusing AI into the process. This webinar will highlight how AI can accelerate code analysis, generate documentation, improve testing, and enhance overall modernization strategies while ensuring reliability and trust. Participants will learn how AI augments—not replaces—engineering best practices. Topics include:
- Common misconceptions and challenges in legacy application modernization
- How AI can assist with code transformation, testing, and documentation
- MongoDB’s modular, slice-based modernization methodology using dependency graphs and AI
- Best practices for building stakeholder trust through pilots and transparent modernization processes
Guest Speaker
Jay Runkel
Distinguished Solutions Architect
MongoDB
Jay Runkel is a Distinguished Solutions Architect at MongoDB, where he has spent the past 12 years helping organizations harness the power of modern data solutions. For the past two years, he has served as the North American Technical Lead for MongoDB’s Modernization Factory program, an initiative that leverages generative AI to accelerate the transformation of legacy applications to MongoDB.
Prior to joining MongoDB, Jay was a Principal Technologist at MarkLogic, where he worked with financial services, healthcare, and media companies to build operational systems for analytics and custom publishing. His career spans a wide range of technology domains, including encryption asset management, automated underwriting, product information management, and CRM solutions. Jay holds a B.S. in Applied Mathematics from Carnegie Mellon University and a Master’s in Computer Science from the University of Michigan.
Date: June 26, 2025
Time: 9:00 am PT
Fern Halper, Ph.D.