Self-Service Data at AI Scale

Self-Service Data at AI Scale I am excited to announce https://lnkd.in/eQvZeKqs the next agentic version of Promethium’s Instant Data Fabric™ for self-service data at AI scale. To experience the full power of this platform, we are also announcing Mantra™, a self-service data agent that gives data teams a new way to answer business and agent-driven questions — instantly, accurately, and at scale. Mantra is currently available in private preview. To see a demo https://lnkd.in/e6-cAWYr or join the waitlist, visit https://lnkd.in/eiYFrZs8. As most enterprises have realized, their current data architecture was not designed for the immediacy of AI. The modern data stack was designed for pipelines and batch workloads. Lack of context - both business and technical - has made it hard for AI models to reliably work against distributed enterprise data. Many of the “talk to my data” agents are limited to specific tools or platforms. Meanwhile data teams are swamped with new ad hoc requests and deploying narrow agentic offerings. A new and open architecture is needed to deliver self-service data at the scale of AI. The Instant Data Fabric https://lnkd.in/e6fE5vAM represents that evolution in data architecture — moving beyond traditional data fabrics focused on virtualization to agentic platforms built specifically for real-time, ad hoc data access, context and consumption at AI-scale. To read more about the architecture and capabilities, please see my blog https://lnkd.in/eAYxu4HM. Reach out to me or my team https://lnkd.in/eFcP3wdk for a live demo or to see how Mantra looks like in action in your enterprise to deliver self-service data. #EnterpriseData #DataArchitecture #SelfServiceData #DataFabric #AgenticAI #A