EDS reposted this
Spent yesterday at the Tower Club in Dallas talking AI and data with senior IT leaders from across DFW for #CIOXDallas. Multiple conversations cycled back to the same challenge a variety of customers have brought to me this year: Organizations realize their decades of institutional Prod data is a treasure trove of insights and context their enterprise LLM initiatives should train on. But regulatory and competitive implications mean this data can't be funneled through an LLM if it contains sensitive or proprietary information. The question at our booth kept coming back to "how can we de-identify our data estate to ensure we have compliant data in Non-Prod for AI initiatives?" Simply put, Delphix is the clean data foundation that successful enterprise AI initiatives run on. With it, you can: 🎭 Automatically discover and mask sensitive data from Production environments, before anything flows to Non-Prod. ⚡ Virtualize your Non-Prod DBs so your teams can accelerate, release faster, and refresh data in minutes. 🧬 Generate Synthetic Data for edge cases, environments without Prod data flowing, or areas where Prod data is prohibited. Delphix is the only solution on the market that holistically delivers data, masks data, and generates synthetic data at scale from a single API gateway for unified visibility and orchestration. 🔑 Organizations driving de-identification now will be training LLMs on decades of context their competitors won't have.