Archive Retrieval Demands Are 10x Higher Than You Think скачать в хорошем качестве

Archive Retrieval Demands Are 10x Higher Than You Think

AI-powered customer interactions demand instant access to years of communication data — and legacy archive systems weren’t built for that world. In this video, Scott Draeger, SVP of Product Marketing at Smart Communications, explains why archive retrieval is becoming one of the biggest bottlenecks in the AI era — and why organizations can’t ignore it heading into 2026. Legacy archive systems were designed for storage, not retrieval. But today: • Customers expect instant answers through self-service • Employees rely on real-time AI summaries across channels • AI models require massive retrieval volumes for training and optimization The result? Retrieval requests are increasing by 10x, 100x, even 1000x — exposing cost, performance, and scalability limits in traditional archive platforms. This video explores: • Why legacy archives struggle with AI workloads • How retrieval demand is reshaping archive economics • What a modern, AI-ready archive needs to deliver • Why archive modernization is now a CX and AI strategy — not just IT housekeeping Explore our 2026 Trends Report: https://bit.ly/492BDu2