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Learn how protecting AI data sources is essential for delivering valuable AI insights in this 33-minute conference presentation from AI Field Day 7. Discover HYCU's comprehensive approach to data protection that extends beyond raw data to include configurations, metadata, and associated systems powering AI infrastructure. Explore the company's multi-faceted strategy beginning with free data discovery across SaaS, PaaS, DBaaS, and IaaS environments, and understand how their platform helps enterprises continuously map and visualize data estates while identifying unprotected resources and automating categorization. Examine the unique challenges of protecting data sources that fuel AI models, particularly in environments using retrieval-augmented generation (RAG) methods to enhance language models with proprietary data. Understand HYCU's pioneering protection of vector databases like Pinecone and Redis, positioning them as the first enterprise backup vendor to offer such capabilities. Analyze how data distributed across public cloud, SaaS platforms, and on-premises infrastructures can be managed and protected from a single control plane, providing portability, granular recovery, and ransomware resilience. Investigate the modular, API-driven architecture that enables rapid integration of new SaaS sources while maintaining compliance and service-level agreements. Review critical industry data revealing that most organizations have experienced at least one SaaS-related data breach in the past year, along with their significant financial and operational impacts. Explore HYCU's customer-centric approach ensuring data ownership without third-party control or cloud storage markup, supported by a global, scalable architecture across all major cloud providers with intelligent data locality to minimize costs.
