The Rise Of Infused Lower-Level AI

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I am a technology journalist with three decades of press experience. Primarily I work as a news analysis writer dedicated to a software application development ‘beat’. I have spent much of the last twenty years focusing on open source, analytics & data science, cloud computing, mobile devices & data management.

AI is human-like. Our surface-level perception of Artificial Intelligence and its Machine Learning power comes to us in the form of smart chatbots, automated job and task functions that we previously associated with human beings - and the ability to present users with digitally-powered inference, logic and a smart level of understanding.

When non-technical users start to interact with data analytics services to ask business questions of an organization’s data streams, the upper-tier results point commercial staff to start new sales promotions or to open new stores, but the lower-tier AI is working hard to combine technologies like semantic data modeling layers with explainable AI logic.

It’s not the fact that there are virtual desktop services on offer here - although they indeed are - is because those services need management for day-to-day operation and we can now apply generative AI to that management burden so that tasks like optimization can be performed automatically and proactively.These IT processes are often referred to as endpoint management functions they sit close to application delivery enhancements.

Nerdio says that his platform's new cost optimization features ‘go beyond’ simple stop-and-start VM auto-scaling. From storage optimization for Azure Files and Azure NetApp Files to Log Analytics, OS disk swapping, Advanced Predictive Drain Mode and multiple scaling triggers, Nerdio Manager offers alignment of Azure infrastructure with real-time user demands.

 

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