Ever wonder what people REALLY do with the Internet of Things and Big Data? Join us on November 3, 2016 to find out. I'm hosting a webinar with John Myers of Enterprise Management Associates and Dan Graham of Teradata where we look at real world implementations. Registration information is here.
This week's newsletter has new contributor B Jansen looking at IoT Programming languages. I also cover his very useful Interactive Map of IoT Organizations (people in business development this is for you!). Mark Niemann-Ross, also a new contributor, looks at why we're going to need sophisticated device management, Ajit Jaokar guest blogs about the AI layer for the enterprise and the role of IoT, Bill McCabe on the moves of IBM, and Sandeep Raut pens a piece on data science for predictive maintenance. I also include an industry call to action: government intervention is needed for the IoT.
If you're interested in being featured, we always welcome your contributions on all things IoT Infrastructure, IoT Application Development, IoT Data and IoT Security, and more. All members can post on IoT Central. Consider contributing today. Our guidelines are here.
Posted by B Jansen
I began collecting information on various home automation hubs, industrial IoT Platforms, hardware solutions, software technologies, and variety of different “things”. All of the data I collated into what I am calling my “Thing of Things” (ToT) database.
I currently have 8,821 data points across 541 organizations, 532 product lines, and 63 countries. A large number of the organizations have formed over the past 6 years. If you are interested in getting into IoT, this could help guide you on which language(s) to learn.
Posted by Mark Niemann-Ross
We are going to have devices using low-power, short-range networks to communicate with other devices. This type of communications will require adaptive and flexible methods. This is going to require sophisticated device management.
Posted by David Oro
Over on MotherBoard, noted cryptographer, computer security and privacy specialist, and writer, Bruce Schneier pens his thoughts on the recent gaping holes in security for Internet connected devices. When Bruce speaks, people listen. First, if you haven't been following the recent DDoS attacks using IoT devices, read this. In short, IoT devices have been comprised to attack networks. It's so bad that Bruce is calling out the IoT market for failing to secure their devices and machines that connect to the Internet and is asking for government intervention.
Guest blog post by Ajit Jaokar
According to Deloitte: by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products”. Gartner also predicts that 40 percent of the new investment made by enterprises will be in predictive analytics by 2020. AI is moving fast into the Enterprise and AI developments can create value for the Enterprise. This value can be captured/visualized by considering an ‘Enterprise AI layer’. This AI layer is focussed on solving relatively mundane problems which are domain specific. While this is not as ‘sexy’ as the original vision of AI, it provides tangible benefits to companies.
Posted by David Oro
Here's a map that shows the location of the headquarters of organizations around IoT including standards bodies, manufacturers of Things, IoT Platform companies, etc. On the map you can click on a category on the left to highlight the organizations in that category. Or zoom in to see the areas where IoT organizations are near you.
Posted by Bill McCabe
There have been some interesting developments for Big Blue in the IOT space recently. Last time we reported on them, we were monitoring analysts’ worries about the semiconductor business and other divestures late last year. This year, it seems clear IBM is poised to create even more profitable opportunities in our IOT space. Let’s check in and see where they are.
Posted by Sandeep raut
Remember few years ago there were two recall announcements from National Highway Traffic Safety Administration for GM & Tesla – both related to problems that could cause fires. These caused tons of money to resolve. Aerospace, Rail industry, Equipment manufacturers and Auto makers often face this challenge of ensuring maximum availability of critical assembly line systems, keeping those assets in good working order, while simultaneously minimizing the cost of maintenance and time based or count based repairs. Identification of root causes of faults and failures must also happen without the need for a lab or testing. As more vehicles/industrial equipment and assembly robots begin to communicate their current status to a central server, detection of faults becomes more easy and practical.