Search This Blog

Showing posts with label AT&T. Show all posts
Showing posts with label AT&T. Show all posts

Friday, December 29, 2017

From Smart Cities to the Jetsons

photo from https://c2.staticflickr.com/6/5324/6917138408_144eeec7b8_b.jpg
A connected utopia in the ideal vision of a smart city and it is achievable, but given the challenges to overcome it will take some time and effort to get there, according to AT&T's Michael Zeto.
In part one of this Q&A with Telco Transformation, Michael Zeto, general manager and executive director of AT&T Smart Cities, IoT, explained what forces, aside from the technology itself, have to work together to make smart cities viable and how his company was taking a leadership position. (See AT&T's Zeto on Achieving the Smart City Vision.)
In part two, he talks about AT&T's smart cities pilot, the type of problems smart cities deployments solve and how smart cities will evolve. He also explained why, despite the significant advances of the past couple of years, the achievement of full smart city status is still farther down the road.

Read more in 

AT&T's Zeto: How Smart Cities Meet The Jetsons


Wednesday, December 28, 2016

IoT and the power of location data

Among the buzzwords of today, the popularity of IoT is definitely up there with all sorts of predictions about how many billions the market will grow to by 2020. When it comes to improving logistics, though, IoT is already making a measurable difference. That’s why the companies in the logistics arena are turning to software that capitalizes on the real-time capabilities of IoT.
Earlier this year, AT&T and Eye for Transport (EfT) published their 2016 research findings in a report called The Internet of Things (IoT) in Supply Chain and Logistics. Fifty-nine percent of its 600 respondents identified as logistics providers. Among all respondents, 41% said they already had an IoT solution in place and 23% were planning an IoT strategy.  The overwhelming majority, about four out of five, look for IoT solutions for location information.
Location information is of such concern because so much depends on knowing where the cargo in question is at a particular time. That frictionless stream of data allows for more accurate predictions about time of delivery and precludes the need for a person to have to manually check- in – either by calling the driver or having the driver call or text to let their managers know where they are. 
Read more in