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The Internet of Things Is Far Bigger Than Anyone Realizes:

- A real change in all of us lives.

- New concept of conveying / getting data.

- Not all Companies able to cath up with it.

     WHEN PEOPLE TALK about “the next big thing,”    they’re never thinking big enough. It’s not a lack of imagination; it’s a lack of observation. I’ve maintained that the future is always within sight, and you don’t need to imagine what’s already there.

Case in point: The buzz surrounding the Internet of Things.

What’s the buzz? The Internet of Things revolves around increased machine-to-machine communication; it’s built on cloud computing and networks of data-gathering sensors; it’s mobile, virtual, and instantaneous connection; and they say it’s going to make everything in our lives from streetlights to seaports “smart.”

But here’s what I mean when I say people don’t think big enough. So much of the chatter has been focused on machine-to-machine communication (M2M): devices talking to like devices. But a machine is an instrument, it’s a tool, it’s something that’s physically doing something. When we talk about making machines “smart,” we’re not referring strictly to M2M. We’re talking about sensors.

             A sensor is not a machine. It doesn’t do anything in the same sense that a machine does. It measures, it evaluates; in short, it gathers data. The Internet of Things really comes together with the connection of sensors and machines. That is to say, the real value that the Internet of Things creates is at the intersection of gathering data and leveraging it. All the information gathered by all the sensors in the world isn’t worth very much if there isn’t an infrastructure in place to analyze it in real time.

This article is published by permission of www.wired.com, and itself has no other purpose than submitting a due exercise on Social Marketing Course, classes taught by Coursera.org. Thanks in advance, and sorry for any kind of trouble committed by its publishing on this web page.

www.altag.net

Some data analytics needs to be applied to the data as the value is not in the raw bits and bytes, but rather in the insights gathered from them. Big data analytics tools are generally available today, which stretch from simple statistical tools to more sophisticated machine learning approaches, with deep learning being the latest trend. Think of statistical tools finding you the known knowns in the data; machine learning finding the known unknowns; whilst deep learning is able to find the unknown unknowns.

        Personally IOT makes me a lot of sense and no doubt it is making a dramatic change in every detail of our life as we have been aware of it for the time beign. 

Yet this dazzling topic arises some worry question, and keep me rather wary over this technological change. e.g.: 

• Is there any standard agreement for data be transmitted? 
• Do States share an uniform and unique data policy in each country?
•  Will it mean a lack of privacy for everybody?
• Will the loss of jobs balance its potential tradeoffs?

I have gathered the most important in accordance to my view, albeit much more controversial reasons could easily be printed here. I guess many IT tasks have to be tackled and discussed. Above all, let us no make a fuss of IOT for the sake of it, and not having the potential profits as a big picture. Rather it is high time for policy makers to join a talk business thorougly about it.

Let us await for the best.

Juan Floria

Social Media Big Data , Programmer, CEO International Business, Financial Analyst.

Future blogs about this Social Big Data topic will be published periodically here.
Should you have any interesting theme to be discussed, be so kind of conveying it to me.
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