Description

Coding agents like Claude Code and OpenAI Codex have made building software faster and easier than ever. Development teams are tackling new and exciting in-house application builds with more and more confidence. Is master data management (MDM) a candidate for a DIY project? The answer is more nuanced than a simple build-or-buy decision. While AI can accelerate software development, it doesn't eliminate the complexity of mastering data at scale. 

In this webinar, we take an honest look at the build vs. buy decision, walking through five (5) key factors every organization should evaluate before committing to a path. From scalability and infrastructure to security and maintenance, learn what it takes to build, operate, and evolve an enterprise-grade MDM platform.

In this session, you will:

• Explore the 5 key factors to weigh when considering a DIY approach to MDM

• Understand what it takes to develop, integrate, and sustain an enterprise-grade MDM solution in-house

• Learn how AI-assisted development, applied in the right ways, can create competitive advantage 

Anthony Deighton Chief Executive Officer Tamr	Nick Laferriere VP of Engineering Tamr

Whether you’re evaluating a custom build, selecting a commercial MDM platform, or exploring how AI agents fit into your data strategy, this session will give you the clarity to decide what to build, what to buy, and where to focus your development efforts for maximum business impact.

Sign up now!