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 …
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
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 …
If the data reflects inequality or bias, the AI’s outputs will mirror it, potentially resulting in an individual being denied a job or loan, or, even more …
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.
In this week's real-time analytics news: Oracle made multiple announcements at this week’s Oracle AI World
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, …
M&A is often viewed as a time for companies to change, but that energy should be extended to their data environments, as well. It's an opportunity to commit to …
Achieving transformational AI maturity means tackling the infrastructure barriers that stand in the way of scale, speed, and security.
The first step in mining unstructured metadata for compliance needs is to get visibility into all metadata across file and object storage.
The future of insurance will be shaped by those who treat data as a living, strategic asset and not simply a byproduct of