Summary of How to Identify and Implement Applications for AI in Your Organization by Andrew Burgess

This overview of artificial intelligence (AI) by disruptive technology expert Andrew Burgess demystifies AI and explains a lot of its specialized vocabulary. Aptly named an “executive guide,” it is exceptionally clear and will be useful to anyone who wants a handle on AI. The introduction addresses business issues and the book’s framework offers a useful […]

Eight Storage Requirements of Artificial Intelligence (AI) and Deep Learning (DL)

Data is the lifeblood of artificial intelligence and deep learning (AI and DL). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships. Here are eight specific storage requirements of AI and DL applications and why they demand the data management capabilities supplied by enterprise object storage solutions.

How Data Center Infrastructure Management (DCIM) Response to AI and Machine Learning

We have an almost mystical faith in the ability of artificial intelligence (AI) to understand and solve problems. It’s being applied across many areas of our daily lives and, as a result, the hardware to enable this is starting to populate our data centers. Data centers in themselves present an array of complex problems, including […]

Real-World Problems and Challenges for Artificial intelligence for IT Operations (AIOps)

Artificial intelligence for IT Operations (AIOps) is widely defined as the result of big data and artificial intelligence (AI) / machine learning (ML). It’s a framework designed to help CIOs master today’s dynamic IT landscape and answer questions such as: Where to place workloads for optimal performance and cost? How to connect apps to infrastructure […]