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“Smart cities” has been a popular concept for most of the 21st century and yet, very few cities can make the claim that they’ve achieved the status. Few experts will even agree on what it means and many smart city projects have hit dead ends due to costs, privacy issues, and challenges related to scope. Thankfully, Advantech’s Charlie Wu returned to the show and help us break down where cities can start to get "smart," first by explaining the difference between machine vision & learning. How will future cities manage traffic and autonomous vehicles? How about resource management like sewage, water, and parking? Finally, we dig into the public safety angle and the privacy issues that come with it.
#VARValue - For VARs that aren’t certain where they fit in the smart city discussion, who should they be talking to and what should they be keeping an eye on?
Scrapped Toronto Smart City Article
TEConnecting with us:
Dean - How much radiation does your smartphone emit?
Charlie - Not watching as much TV
John - The odds of dying by space junk
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