Current 2025: Real-Time Data and AI Come Together
This year’s Current conference highlighted the need to bring real-time data and AI together. The keynote and many sessions dug into this topic for the …
This year’s Current conference highlighted the need to bring real-time data and AI together. The keynote and many sessions dug into this topic for the …
For innovation to take place, organizations need a storage infrastructure that can adapt to new technologies such as higher-density storage media or more …
Organizations that focus only on model development without considering their data’s AI readiness will continue to struggle.
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, …
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time …
The edge has become an active layer of enterprise execution, where decisions are made, value is created, and real work gets done. As organizations continue to …
Orchestrating real-time fulfillment is about marrying speed with control. An event-driven, streaming-based architecture provides a blueprint for doing exactly …
Data immediacy goes beyond the concepts of streaming data and data-in-motion. It adds the dimension that data has a very specific time value. The less recent …
Data immediacy is not a buzzword; it's a capability that separates leaders from laggards in the modern enterprise. The Data Immediacy Readiness Scale provides …