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PowerEdge Servers for Machine Learning with H2O.ai
| January 23, 2020
Zebra (NASDAQ:ZBRA) builds tracking technology and solutions that generate actionable information and insight, giving companies unprecedented visibility into their businesses.
Article | March 10, 2020
The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom." Isaac Asimov This is a reprint from article in ReadWrite It might appear that data — the information you find in a scientific article, a history book, or a set of survey results — is just a collection of objective facts. The numbers, if sourced well, are supposed to be the hard truth untarnished by opinions, perspectives, or biases. In reality, this is rarely the case. Here is how AI can be just as biased as the humans creating it.
The companies already partner on charging system operations managed services. The new deal, which is already being implemented, includes network operations center services and field services in radio, core and transmission technology. AI-driven intelligent and data driven operations are part of the deal. AI-related efficiency benefits, automation and data analytics will enable MTN Benin and Ericsson to run predictive operations to enable a shift from reactive to proactive IT and network management – boosting customers' experiences, as well as network quality and performance.
Machine learning is a subset of artificial intelligence that can be found almost anywhere. Believe it or not, even coffee roasters are beginning to employ machine learning algorithms to better understand when coffee lovers will crave their next cup of joe. The ability to innovate is one of the most highly prized qualities in today’s tech-driven world, which has led to a stunning range of machine learning applications across multiple industries. Here are the top five real-world examples.
A 2019 report on the State of Remote Work concluded that “remote work is here to stay.” The survey of nearly 2,500 remote workers found that an overwhelming 99% said they wanted to work from home, at least some of the time, for the remainder of their careers. And that was long before any “shelter in place” order from any government official.
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