Tag Archives: Digital

Internet Of Things, IoT

IoT – Enabler Of New Levels Of Personalization

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The rise of IoT

There is now a rampant rise in predictions about the future of the Internet of Things (IoT). It is almost impossible to read a cutting edge IT article without some mention of IoT. It is now a fact that most organizations are trying to work out the role IoT will play in their future. IoT has almost taken over Big Data as the next topic companies have to crack.

Device GrowthTo that end industry analysts are lining up to share their views on the impending growth. Recently IDC predicted that “By 2018, there will be 22 Billion IoT devices installed, driving the development of over 200,000 new IoT apps and services” and that “By 2018, IoT spending will grow 1.5X”.  Gartner also shared their view that “6.4 Billion Connected ‘Things’ Will Be in Use in 2016, Up 30 Percent From 2015, and will reach 25 billion by 2020″.

IoT_2016At the same time the World Economic Forum (wef) put out an excellent article “5 predictions for the Internet of Things in 2016“. The article nicely brings together many predictions ending with this comment which I fully agree with. “Thousands of businesses worldwide are already reaping IoT’s rewards, and 2016 will be the year that more companies join the IoT revolution.”

In my opinion the IoT revolution is not on its way – it is already underway! To that end I agree with many of the industry analysts that 2016 could be a big year for IoT.  In an earlier post I covered my thoughts on “Why the Internet of Things will change how you interact with your customers”. That post focused on the styles of “interactions” and services I expect to see organizations having to carry out with their customers because of the advent of IoT.

In this post I want to share a few thoughts on why I believe a different type of personalization is going to be driven via the growth of IoT. This personalization I believe will be welcome, if seen at all, and not seen as creepy.

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Big Data, Hadoop

The tale of two innovation labs for big data

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Originally published on SAS Voices

Recently I have been out speaking with a number of organizations about the idea of the innovation lab concept , which I discussed in a previous blog post, as the way to unleash the power of big data and make even the largest of companies as agile as a start-up. During my discussions there are a couple of things that I am observing, that I wanted to share with you, since it seems there are different types of innovation labs in organizations:

  1. Many companies have something I am going to label an IT innovation lab where they are experimenting with “big data” technologies. These IT innovation labs are NOT the same as the “data related” innovation lab that companies need to put in place to remain agile in this new digital world. The focus of the IT innovation lab is to test the technology and its integration whereas the focus of the “data related” innovation lab is to test hypothesis around mashups of data and different analytical approaches In the digital world, information gleaned from data is your best competitive weapon, and speed is a critical component to your success.  It is my opinion these should be separate and distinct in a companies strategy as each has a role to play. This post will focus on the tale of two labs and how they differ.
  2. Tight budgets, and the significantly different focus of the “data focused” innovation lab, are causing organizations to ask for support to obtain funding given it is generally a new concept to not have a concrete business problem solved as part of asking for an investment. A second post in this series will focus on how I suggest organizations can build the business case for the data focused innovation lab which I believe is vital to the future success of all organizations no matter how large or small they are.

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