Every time you bolt a new AI point-solution onto a 20-year-old on-prem core, your architecture gets scarier.

Carrier CIOs and CTOs are currently absorbing the immense technical debt of this "Frankenstein" approach—spending critical engineering cycles on custom ETL workflows, managing complex data lakes, and assuming the integration risks of a multi-vendor patchwork.

This live session tackles the active, compounding costs of core modernization head-on. We’ll explore why the "safe" bet of patching legacy systems creates massive long-term risk, the engineering traps hidden within "best of breed" strategies, and the hard economics of build vs. buy. Learn how IT leaders are escaping the endless cycle of backfilling data and moving toward AI-native architectures that unlock usable data from day one.