AI is everywhere these days, powering applications from the enterprise to industrial, medical, education, and mobility
Author: Utilizing Tech
MLOps is similar to DevOps but focused on ML, and focuses on improving quality of delivery for artificial intelligence applications
Developers of AI applications face many obstacles, but the chief challenge is simply that these are different from traditional software development projects
Microsoft plays a large role in enterprise IT applications, from the desktop to the datacenter to the Azure cloud, and the company is active in the world of AI as well
You might think that 5G and AI are completely unrelated, but these new technologies support each other
Machine learning models have grown tremendously in recent years, with some having hundreds of billions of data points, and we wonder how big they can get
AI processing is appearing everywhere, running on just about any kind of infrastructure, from the cloud to the edge to end-user devices
Development of autonomous vehicles is an excellent example of machine learning applied to industrial IoT
We are on the cusp of a totally new architecture for enterprise IT, and this change toward composability is being driven by applications like AI
Industrial cameras and sensors are generating more data than ever, and companies are increasingly moving machine learning to the edge to meet it