IBM's Quantum Starling project, set to be operational by 2029, represents a significant leap in fault-tolerant quantum ...

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

Accuracy and Reliability: The Pillars of Trust: Data accuracy and reliability are critical for AI model performance. Silos can help ensure that the data used for training is accurate and reliable, ...

MIND (Math Informed syNthetic Dialogue): How Structured Synthetic Data Improves the Mathematical and Logical Capabilities of AI-Powered Language Models ...

Physical data model. The final layer is physical and represents a composition of host system artifacts—physical data objects—derived from a logical data model coupled with its desired storage ...

The article presents a logical data model for intelligent video surveillance systems. New opportunities for creating data models focused on the widespread use of machine learning methods are ...

The preferred system may include a component for browsing and navigating the physical data model, logical data model, or the links between them, a component to answer queries about the application ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.