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Cull: to reduce the population of (a wild animal) by selective slaughter
As an early adopter of technology, I sometimes feel like I get to live in the future. Or as William Gibson said “The future is already here, it’s just not evenly distributed”. There are a lot of benefits to be gained from this, but there are also risks. One of the biggest risks is
How long is the product you choose going to be around?
I was an early adopter in the first wave of IoT devices, from wearables to home convenience devices, I dipped my toes in the pool early. Most of these platforms were Kickstarter projects and I’ve been generally happy with most of them, at least the ones that were actually delivered. ( That’s a story for another time…).
But in the last six months, the market seems to have decided that there are just too many of these small companies.
In the last year, I’ve noticed that there’s starting to be a trend. Many of the early platforms that I invested in seem to be disappearing. Some have been bought off and killed. Remember the Pebble watches which Continue reading
I was at Pure Accelerate 2017 this week and I saw some very interesting things around big data and the impact that high speed flash storage is going to have. Storage vendors serving that market are starting to include analytics capabilities on the box in an effort to provide extra value. But what happens when these advances cause issues in the training of algorithms?
One story that came out of a conversation was about training a system to recognize people. In the process of training the system, the users imported a large number of faces in order to help the system start the process of differentiating individuals. The data set they started with? A collection of male headshots from the Screen Actors Guild. By the time the users caught the mistake, the algorithm had already proven that it had issues telling the difference between test subjects of particular ethnicities. After scrapping the data set and using some different diverse data sources, the system started performing much better.
This started me thinking about the quality of the data that we are importing into machine learning and artificial intelligence systems. The old computer adage of “garbage in, garbage Continue reading
HOW MUCH DO I LOVE THE BOFH ON THE REGISTER!!!!!!!!!! “YOU JOINED A WEBINAR – or, as we call it – willingly watched an advert?” “I… It wasn’t an advert.” “Right, so if someone came up to you and suggested that they take half an hour out of your day – at a time […]
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Adopting a web-scale model requires a common vision and staff training.
Aryaka is among the first to combine CDN technology with the WAN.
What makes for a successful protocol ? Which protocol is successful and why ? Have you ever been asked these questions ? As an engineer you cannot say I believe Protocol X is successful or Protocol Y is not. There is nothing like ‘ I believe ‘. There should always a science behind […]
The post What makes for a successful protocol ? appeared first on Cisco Network Design and Architecture | CCDE Bootcamp | orhanergun.net.
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