What originated as a narrow procurement notice has grown into a broader effort that links machine-learning models with ...

Workflow-centric Records Management System aims to redefine usability, officer productivity, and data lifecycle ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

The vulnerability of the “connective tissue” of the AI ecosystem — the Model Context Protocol and other tools that let AI agents communicate — “has created a vast and often unmonitored attack surface” ...

JPLoft helps businesses move beyond AI experiments by building scalable, secure, and outcome-driven solutions that turn ...

In this exclusive Executive Q&A, Nasuni’s Nick Burling discusses how the proliferation of storage sprawl, backup duplication, ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Operational availability is the Nuclear Navy’s bread and butter, yet shipboard technicians are currently prevented from improving maintenance outcomes by an archaic data bottleneck. Scheduled ...

As AI becomes central to GTM strategy, the challenge is no longer adoption but integration. Data remains locked inside walled ...

Companies compete not on who owns the hardware, but on how well their models reflect reality. For the past two years, ...

The barrage of misinformation in the field of health care is persistent and growing. The advent of artificial intelligence (AI) and large language models (LLMs) in health care has expedited the ...