Carsten Baumann, director of strategic initiatives and solution architect at Schneider Electric, explores the role of edge computing in handling today’s big data explosion in the manufacturing sector.
A new report from QTS points out that the data center industry may have “lagged behind the curve” when it comes to digital innovation. But that may be changing, as business needs and customer expectations continue to ramp up and change at a rapid pace.
Gerry Fassig, Vice President, Sales, at CoreSite, explores how best to power AI and machine learning across a variety 0f industries and sectors through data and processing power.
Our 2020 podcast season kicks off with a series of shows based on DCF’s annual forecast, which we call “Eight Trends That Will Shape the Data Center in 2020.”
The role of distributed IT is shifting. This is true for retail locations, branch offices, university campuses or manufacturing plants, and has been for a while. But these days, with almost every organization becoming more digitized, “the number of these sites is increasing, and their role is changing,” said Vertiv. A new white paper from Vertiv outlines how connectivity, cloud computing, big data and mobile applications can work together to enable a new service paradigm for remote sites that increases visibility, reduces downtime and supports optimization of these vital IT resources.
Jeff Klaus, General Manager of Intel Data Center Management Solutions, explores how for remote facilities at the edge of the network, DCIM Solutions are key to supporting enterprise Internet of Things (IoT) and big data.
Many of the key trends highlighted by venture capitalist Mary Meeker in her Internet Trends report will boost demand for data centers and cloud computing.
The growth of machine-to-machine (M2M) data is projected to escalate rapidly in the next five years. Edge computing can play an important role in data ingest, accepting data from devices and creating a richer two-way flow of information across the network.
Natural language processing (NLP) is a type of artificial intelligence that allows machines to understand meaning behind various speech processes. Bill Kleyman looks at considerations in using NLP in your IT operations.
Data lakes are centralized storage and data repositories that allow you to work with a variety of different types of data. Bill Kleyman looks at why data lakes matter, and how you can use them in your business.