In today’s fast-evolving insurance landscape, technology is the backbone of innovation. IT and innovation teams face a critical decision: when to build solutions in-house and when to buy externally. This session explores the key factors in making these choices, with a focus on the foundational role of data. We'll examine how well-structured data supports successful tech strategies and share real-world examples of what works—and what doesn’t.

Attendees will leave with a clear framework for deciding whether to build or buy, considering factors like IT team maturity, time-to-market, and long-term goals. We’ll also discuss how strong data foundations unlock the potential of emerging technologies like AI.

Key Takeaways:

• A framework for deciding when to build vs. buy tech solutions.
• The importance of data foundations in driving technology success.
• Insights from real-world examples of both approaches.
• Strategies to future-proof your tech investments for emerging technologies like AI.

This session provides actionable insights for IT and innovation leaders to navigate technology decisions and drive long-term success.