Adrian Bridgwater

If we’re adding chat AI to the Ops equation at one end and ML enrichment at the other and then mixing the DNA of both throughout the platform (which isn’t how New Relic puts it, but this is pretty much what’s happening) then we get smarter systems that we can observe, manage and enjoy all the time.

This is a guest post for the Computer Weekly Developer Network written by Fatima Sarah Khalid, developer evangelist, GitLab. Khalid writes in full as follows … Early in my career, I was a city ...

Temenos has published a new ‘high-water’ benchmark performance result for the company’s own Temenos Banking Cloud on Microsoft Azure and MongoDB Atlas

Automation starts with data - so let's automate, but collaborate to mitigate as we assimilate, carefully deliberate and integrate with a view to facilitate and liberate.

Embedding generative AI and chatbots into SAP is all about increasing the productivity of all users and opening up new workplace innovations says SAP CEO Christian Klein.

Cloud is modern. By its very nature, we know that cloud computing and the all wider disciplines related to the Everything-as-a-Service (XaaS) computing

Enterprise technology is trend-based. Go to any IT trade conference some five years ago and no vendor worth their salt would be able to deliver a platform

Vectors are on the rise throughout search, data & the entire fabric of the web, if not perhaps the X-factor, many enterprise apps now need to think about the V-factor.

There are many types of Ops. We classify this software discipline as a component of the many types of Ops now working to keep our computing cloud up in the air & running.

The current renaissance of Artificial Intelligence (AI) and the Machine Learning (ML) processes that we are now developing and finessing is nothing short of ubiquitous.