Modern Compliance Requires Modern Tools
Modern tools, including AI, machine learning, and real-time monitoring, allow organizations to flag anomalies, adapt as they grow, and enforce policies …
Topic: Data management
AI Bias Isn’t Just a Model Problem – It’s a Data Supply Chain Problem
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 …
The Other Bottleneck: Why Legacy Storage is the Silent Threat to Innovation
For innovation to take place, organizations need a storage infrastructure that can adapt to new technologies such as higher-density storage media or more …
Think Your Data Is AI Ready? What Most Organizations Miss About AI Readiness
Organizations that focus only on model development without considering their data’s AI readiness will continue to struggle.
Real-time Analytics News for the Week Ending October 18
In this week's real-time analytics news: Oracle made multiple announcements at this week’s Oracle AI World
Building the Next-Generation Data Stack: Streaming, Edge, and Adaptive Intelligence
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, …
Fast-track M&A Synergies Through AI-Grade Data Fitness
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 …
Breaking the Barriers to AI Maturity
Achieving transformational AI maturity means tackling the infrastructure barriers that stand in the way of scale, speed, and security.
Leveraging Unstructured Metadata to Lower Compliance Risks
The first step in mining unstructured metadata for compliance needs is to get visibility into all metadata across file and object storage.
Data Fluency: The Foundation for AI in Insurance
The future of insurance will be shaped by those who treat data as a living, strategic asset and not simply a byproduct of