Microsoft has announced the general availability of its Azure AI Content Safety, a new service that helps users detect and filter harmful AI- and user-generated content across applications and services.

As the Apple world welcomes the USB-C Apple Pencil, Apple-in-the-enterprise proponents might want to eye a case study that suggests Apple products in business boost productivity, and can offer significant advantages in another big tech spac

Atlassian has announced the general availability of its developer experience platform, Compass, which provides a centralized space for engineering teams and the technology they use on a daily basis.

Artificial intelligence has demonstrated promise in healthcare by being able to predict patients’ health trajectory based on clinical history, recommend treatments, and increase efficiencies by summarizing physician notes and automating l

Enterprise spending on generative AI services, software and infrastructure will skyrocket over the next four years, jumping from $16 billion this year to $143 billion in 2027, according to technology research and advisory firm IDC.

Enterprise spending on generative AI services, software and infrastructure will skyrocket over the next four years, jumping from $16 billion this year to $143 billion in 2027, according to technology research and advisory firm IDC.

As Macs proliferate across the enterprise, and with macOS Sonoma now out, here's a new macOS Sonoma trick to try the next time you’re in a Zoom meeting. Called Presenter Overlay, it should help make video collaboration more effective and

As National Health Service waiting times continue to grow, medical staff in the UK are increasingly confronted by angry patients — and their families — affected by delays in accessing treatment.

This month, Microsoft has released 103 updates to Windows, Edge, Microsoft Office, and Exchange Server. This update also includes minor updates to Visual Studio. Three zero-days (CVE-2023-44487, CVE-2023-36563 and CVE-2023-41763) require "P

Apple may appear behind the curve when it comes to the application of generative AI large language models (LLMs), but as time moves forward, we can see that not every such model is equal and not every deployment so great. It looks as if the