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A personal view of why medical practices need to embrace the use of artificial intelligence for help in patient diagnostics

Machine learning and artificial intelligence have never been as red hot as they are now, as companies apply them for use in everything from autonomous vehicles to game systems to contact center software. However, not every industry has embraced the benefits of machine learning equally. Healthcare in particular is lagging behind significantly — unfortunate since the use of machine learning and AI can positively impact society in a big way by enabling faster diagnosis.

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Releases new chips supporting the 802.11ax Wi-Fi standard

Wi-Fi has been a mainstream technology for the better part of three decades. Despite the longevity of the technology, it still has problems keeping up with the needs of todays mobile user.

Consider an event like Enterprise Connect. Prior to the opening keynotes, when people are sending out tweets and Snapchats making fun of Dave Michels or Kevin Kieller, everything seems fine. Then the keynote starts and stuff stops working — no tweets, Facebook updates, or emails. Some people will just give up on posting to social media or doing anything else online. Others might only use their mobile phone. I actually carry a mobile hotspot specifically for those times I know Wi-Fi will be spotty. The fact is, it shouldn’t be this way, but bandwidth-chewing applications that are synchronous in nature have evolved much faster than Wi-Fi. Wi-Fi speed has steadily increased but it still doesn’t handle multiple users or large file uploads very well.

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Aerohive’s AP150W wall plate is packed with features,
including 802.11 AC Wave 2 and Zigbee, and costs
a lot less than other Wi-Fi expanding options.

In many industries, it’s critical to get Wi-Fi everywhere, but it can often be difficult accomplish this. For example, extending a hotel comprised of smaller cottage-type rooms or one with lots of suites has many hard to reach places with traditional access point (AP) placement. Dorm rooms or hospitals typically want Wi-Fi everywhere, but it’s often difficult to provision it because of interference from thick walls or other infrastructure. 

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Extreme Networks announced its Q4 FY17 results,
and its plan to become a bigger, stronger networking
vendor that can go up against the big guys is working.

The story of Extreme Networks is one of the more remarkable turnarounds I’ve seen in technology in years. About two years ago the company had a market cap of under $300 million, and I thought they were a sure-fire acquisition target for someone who wanted some decent technology on the cheap — because it was becoming apparently clear that the once-cool networking company had lost its way like so many others before it.

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As someone who has been following enterprise WAN architectures for decades, I find their evolution fascinating, especially the number of new technologies that have been deployed in isolation. For example, WAN optimization and SD-WANs are often discussed as separate solutions.  From my perspective, I can’t fathom why a business would deploy an SD-WAN and not implement WAN optimization as part of it.  If you’re going to go through the work of modernizing your WAN architecture, then why wouldn’t you integrate optimization technologies into your deployment right from the start?

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The 802.11ax specification finally brings a Wi-Fi
standard to the network that supports everything
we want to do with our wireless LANs.

I know, I know, I’ve heard it before. A new technology comes along, and it promises to be the next big thing. Consumers and businesses buy it, and what happens? It fails to live up to the hype. In my opinion, almost every iPhone release over the past five years has been that way. Sure there were some cool new features, but overall it’s not something I’d say was game changing.

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