For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

With version control, access management, and workflow automation built in, these platforms streamline reviews, approvals, and ...

In an enterprise world drowning in dashboards, one truth keeps surfacing: Data isn’t the problem—product thinking is.

Internet of Things (IoT) is an important part of the new generation information technology. Data management for IoT plays a crucial role in its effective operations and has become a key research topic ...

The Weibull log-linear model is a widely-used accelerated life-test model in reliability engineering. The standard deviation of log (life), s, was often assumed to be a constant or stress-independent.

Unstructured Data Management: Closing the Gap Between Risk and Response madhav Tue, 06/24/2025 - 05:44 The world is producing data at an exponential rate. With generative AI driving 90% of all newly ...

Pure Storage Inc. today introduced the Enterprise Data Cloud, calling it a sweeping architectural upgrade to how organizations store, manage, and use data across hybrid environments.

Overcoming test data hurdles with realistic synthetic data Quality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation.

The Defense Logistics Agency has launched the Technical Data Management Transformation, or TDMT, a new initiative aimed at enhancing operational efficiency. At the DLA Supply Chain Alliance ...

BOSTON, June 16, 2025 (GLOBE NEWSWIRE) -- X4 Pharmaceuticals (Nasdaq: XFOR), a company driven to improve the lives of people with rare diseases of the immune system, today announced the presentation ...

As the pioneer of the industry's first Enterprise Clinical Data Management (eCDM™) platform, Q-Centrix integrates proprietary technology, the largest and most diverse team of clinical data ...