EZINE:
In this week's Computer Weekly, we look at the technologies needed to support deep learning and AI applications in your organisation. We hear about Southern Water's data management overhaul and the benefits achieved from centralising its data team. And we examine best practice in managing large-scale Docker implementations. Read the issue now.
EZINE:
In this week's Computer Weekly, we look at the lessons learned from the ransomware attack on Travelex and how other firms can avoid the same fate. As Microsoft ends support for Windows 7, we examine the issues for the many remaining users of the operating system. And healthcare CIOs explain the tech challenges facing the NHS. Read the issue now.
EZINE:
In this week's Computer Weekly, we examine the role of green tech in helping businesses contribute to the government's 2050 net-zero targets. We also talk to Spotify about the importance of open source for the music streaming service and how hybrid working is evolving as the post-pandemic workplace continues to change. Read the issue now.
EZINE:
In this week's Computer Weekly, a year after the EU's General Data Protection Regulation (GDPR) came into force, we assess its progress. Fears of technology are holding back digital healthcare – we look at the tech that's bringing back a human touch. And we examine Microsoft's desktop management tools for Windows 10. Read the issue now.
EGUIDE:
After the big changes in the life sciences and pharmaceutical industries in 2023, the new year promises continued challenges and more innovation.
WHITE PAPER:
Managing clinical claims appeals has traditionally been a costly, convoluted part of the healthcare revenue cycle. Introducing AI into the process can improve the efficiency and accuracy of claims appeals. Learn how AI can elevate your revenue cycle ecosystem.
EGUIDE:
Generative AI in healthcare offers promise for tasks such as clinical documentation, but clear regulations and standards are needed to maximize benefits and minimize risks.
EGUIDE:
Researchers have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more quickly and accurately than standard approaches. The model was able to accurately reclassify 1 in 3 patients with chest pain based on heart attack risk. Download the article to read more.
EGUIDE:
Download this e-guide to learn how healthcare providers are leveraging emerging technologies like AI, IoT, machine learning and more, to improve physician-patient relationships.
