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Integration of AI, IoT and Big Data: The Intelligent Assistant

Five years ago, I wrote a post on this blog disparaging the state of the Internet of Things/home automation market as a “Tower of Proprietary Babble.” Vendors of many different home and industrial product offerings were literally speaking different languages, making their products inoperable with other complementary products from other vendors.  The market was being constrained by its immaturity and a failure to grasp the importance of open standards. A 2017 Verizon report concluded that “an absence of industry-wide standards…represented greater than 50% of executives concerns about IoT. Today I can report that finally, the solutions and technologies are beginning to come together, albeit still slowly. 

Smart meter

The Internet of Things: The Promise Versus the Tower of Babbling Things

The term “Internet of Things” is being loosely tossed around in the media. But what does it mean? It means simply that data communication like the Internet, but not necessarily Internet Protocol packets is emerging for all manner of “things” in the home: light switches, lighting devices, thermostats, door locks, window shades, kitchen appliances, washers & dryers, home audio and video equipment, even pet food dispensers. You get the idea. All of this communication occurs autonomously, without human intervention. The communication can be between and among these devices, so called machine to machine or M2M. The data communication can also terminate in a home compute server where the information can be made available to the homeowner to intervene remotely from their smart mobile phone or any other remote Internet connected device.

Internet Infrastructure

5 Ways Big Data Is Going To Blow Your Mind

Call it whatever you want — big data, data science, data intelligence — but be prepared to have your mind blown. Imagination and technology are on a collision course that will change the world in profound ways. Some people say big data is wallowing in the trough of disillusionment, but that’s a limited worldview. If you only look at it like an IT issue it might be easy to see big data as little more than business intelligence on steroids. If you only see data science as a means to serving better ads, it might be easy to ask yourself what all the fuss is about. If you’re like me, though, all you see are the bright lights ahead. They might be some sort of data nirvana, or they might be a privacy-destroying 18-wheeler bearing down on us. They might be both. But we’re going to find out, and we’re we’re going to find out sooner rather than later. This is because there are small pockets of technologists who are letting their imaginations lead the way. In a suddenly cliché w

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