AI-driven advertising depends on reliable data infrastructure

"Mehta said resilient systems are especially important because small failures can have large effects when traffic volumes are high. "Engineering resilience means building systems that can fail gracefully and recover intelligently," Mehta said. "In AdTech, that line"

Digital advertising operates with rapid bidding, targeting, measurement, and reporting that occur in fractions of a second. Reliable data infrastructure is required to store, retrieve, and share information quickly across many parts of the advertising workflow. As advertising systems become more complex, fragmented data access can cause duplicated records, inconsistent reporting, and slower campaign decisions. A unified data layer can let different systems access the same information in a consistent way without replacing every system. Advertising also spans websites, apps, streaming platforms, and connected devices, creating new data and reporting requirements. Resilient systems are needed because small failures can have large effects at high traffic volumes, requiring graceful failure and intelligent recovery.

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