New Way Now: Eon transforms cloud backups to AI-ready data lakes

*Featured in this video:* Ron Kimchi, Co-founder and CTO at Eon *Executive Summary:* Eon is a cloud-native, autonomous backup platform that unifies cloud backup posture management with a backup-optimized storage tier built on Google Cloud. It transforms cloud backups into instantly usable data lakes for AI, analytics, and recovery—eliminating silos and reducing operational and storage costs. Customers have achieved up to a 50% cost reduction in secondary storage used for backup. In some extreme cases, cost savings reached up to 98%. Enterprises have seen a 45% reduction in manual labor related to data protection and management. *Challenge:* Enterprises frequently struggle with data loss, as demonstrated by a customer who faced a ransomware attack and discovered that a large percentage (roughly 40%) of their infrastructure was not properly protected or recoverable. This issue arises because centralized backup teams often lack awareness of new resources and data movements generated by distributed application teams using various cloud services, leading to misconfigurations and improper data retention. Additionally, traditional data analytics processes require extensive ETL (extract, transform, load) from numerous disparate databases, creating pervasive data silos that hinder efficient data access and analysis for AI purposes. *Solution:* Eon transforms complex, multi-cloud backups into a live, queryable data lake—no restores, no ETL—enabling instant access for analytics, AI, and granular recovery. This enables customers to run analytics and AI tools, such as BigQuery, directly on their backups without needing to restore any data or perform manual ETL processes. Users can search across backups, run SQL queries, and pluck individual files from any point in time. Furthermore, Eon allows customers to leverage large language models (LLMs) to ask free-text questions directly on the indexed backup data, gaining immediate context and value from historical data across the en