The Revenue AI Imperative: Connecting Data, Context, and Guided Selling in Real Time
For enterprise revenue AI to work, it needs more than data. It needs context. Without it, accuracy breaks, decisions stall, and trust disappears. Here’s how …
Topic: Data management
Turning Data into Action: Why AI-Driven Business Intelligence Still Fails – and How to Fix It
Getting real value from AI-driven BI isn’t just a matter of tools or training. It requires a cultural shift toward accountability, cross-functional …
AI Readiness is the Real Race – So Why Aren’t Organizations Set Up to Win?
As more organizations race to showcase AI capabilities, it’s easy to feel pressure to move fast. But AI readiness isn’t about speed. It’s about building …
Why Data Quality Is the Cornerstone of AI Success
In today’s AI-driven business environment, data quality is essential to ensure smarter decision-making, lower risk, and more agile responses across the …
Sovereign By Design: Own the Data, Own the Outcome with Strategic Object Storage
Sovereign AI demands that data must not “disappear” into opaque, unmanaged cloud platforms or third-party silos.
Real-time Analytics News for the Week Ending September 6
In this week's real-time analytics news: Siemens and Snowflake announced a collaboration to connect OT and IT data.
Are We Ready for the Real-time Demands of AI? Survey Says No
The ability to observe, monitor, and if necessary, intervene in AI-driven processes in real time has become the most pronounced challenge for enterprises of …
AI Agents are Here, and They Highlight a Major Weakness in Enterprise Integration
The arrival of Agentic AI is the catalyst for a much-needed transformation in enterprise integration. By embracing an event-driven model, businesses can …
Engineering Document Management Enters a New Era with AI
AI is reshaping engineering document management, moving it beyond static file storage to dynamic, decision-ready documentation
Real-time Analytics News for the Week Ending August 23
In this week's real-time analytics news: Researchers have developed a new approach to train open-source models.