The third edition of the Internet of Things Solutions World Congress (IOTSWC) focuses on the use of IoT solutions in six specific sectors: manufacturing; energy and utilities; connected transport; building & infrastructures; healthcare; and open industry. However, other cross-cutting issues that are in any way connected with the field of IoT will also be addressed, such as artificial intelligence, big data, digital transformation, cloud computing, robotics, sensors, security, smart devices, standards, new business models, data storage and predictive analytics, amongst others. A panel of experts, including specialists in technology and industry, corporate executives and world-renowned entities in the IoT ecosystem, will decide on which speakers to invite to the congress as well as the theme of the topics to be discussed, with the aim of showcasing the latest trends and focusing on the applications of most importance to the selected sectors.
1. Big Data
Our data will be as big as we can afford it. Large IT vendors have almost succeeded to convince us that the budgets should accommodate data and not the other way around.
2. Internet of Things
Too wide and vague term extended to many things that worked long before this term came to existence. What happened to embedded systems? Are they now Internet of Things?
3. Additive manufacturing aka 3d printing
Not much in use in real life manufacturing besides printing very costly demo toys on very expensive machines at trade shows and exhibitions.
Do not add much functionality at reasonable price beyond what we already have in our smartphones.
5. Smart home
Most of our homes are still wonderfully stupid which doesn’t make them any less usable, habitable, pleasant or secure, maybe even more secure.
For all trumpets and fanfares the Internet of Things (IoT) market is not happening. For three years we have entertained ourselves with so called Big Data phenomenon, only to wake up to somber reality that the Big Data boom is not happening. Recession-tired businesses are not in hurry to cash out on elusive concepts, server sales are stalling, data analysts are not hatching to fill nonexistent job positions and Big Data is just a lot of glorified white noise. Now marketing departments of the major IT vendors are busy replacing outfashioned Big Data labels with shiny new totem of AI (Artificial Intelligence). Somehow IoT, touted as a major source of Big Data, emerges ubscathed as a concept of future connected world. [Read more…]
The principle of separating content from design goes long way, from web development to information retrieval. As Wikipedia wraps it nicely “it is a specific instance of the more general philosophy, separation of concerns”. I have full heartedly embraced “separation of concerns” principle in my working habits. All my data (about 1TB of documents, spreadsheets, presentations and photos) are stored at the external hard drive, never at the desktop, laptop, smartphone. I do regular backups from my primary external hard drive to a couple of spare hard drives and cloud. The separation solves the problem of data loss with desktop/laptop/smartphone gone sore. The separation makes it a breath to switch from one computing device to another, with one exception – smartphone/tablet which brings me to another topic.
Two the most influential mobile companies in the world, Google and Apple, want to keep us locked forever in their infrastructure. They want us to use their clouds with all their associated services. Gone are days when early smartphones had their own micro USB data access, extractable memory card, micro HDMI. Not any more, mobile companies send a message, actually quite a few of them:
- cloud is the only hard drive you need;
- if you need more memory on your device, buy more expensive model. Slot for extractable flash memory card violates holistic purity of mobile device;
- if you need to connect your smartphone to a larger display, figure out something on your own – we are not ready, it’s a small ripple in the sea of IoT.
Well, that leaves me three options:
- OTG cable, not an easy way that requires root access;
- cloud which brings me to the problem of asymmetric access (fast downstream, slow upstream);
- and finally wireless hard drive which seems the most obvious solution, preserving the same convenient “separation of concerns” mode of work.
How much cost the regular wired portable external hard drives? Seagate Expansion 1TB Portable External Hard Drive USB 3.0 (STEA1000400) or WD 1TB Elements Portable External Hard Drive – USB 3.0 – WDBUZG0010BBK-EESN, selling at about $50 at Amazon.
How much cost their wireless brethren? Seagate Wireless Plus 1TB Portable Hard Drive with Built-in WiFi (STCK1000100) – $141 and WD 1TB My Passport Wireless Portable External Hard Drive – WIFI USB 3.0 – WDBK8Z0010BBK-NESN – $145. About three times more. Both wireless hard drives in my example are WiFi devices only, no Bluetooth. Either WiFi or Bluetooth chip (including integration) should not cost more than $5-$10 in mass production. Why three times? It’s easy, to rob us blind because we allow it. We lost ability to see simple small truths behind the smoke wall of glorifying tech terms: cloud, IoT, connected world. It’s not about connected world, it’s about charging three times more for the same essential commodity.
About two month ago I had been attending Hadoop Summit 2015 in Brussels. Frank Cremer (Port of Rotterdam) and Mansour Raad from ESRI had delivered an interesting presentation on Hadoop’s use to manage output of extensive network of radar and AIS stations:
The Port of Rotterdam is one of the busiest ports in the world. Monitoring and managing the resulting ship traffic is the responsibility of the Rotterdam Port Authorities. Therefore the Port has an extensive network of radar and AIS stations, continuously acquiring positional and telemetry data from all ships within range. This data is stored in Hadoop and processed through map/reduce jobs queried from web maps. Our presentation focuses on specific aspects of this dataset, its processing and its integration into web maps. This integrated approach serves as a showcase for bringing Hadoop`s capabilities to business users through web maps.
This case study is essentially a good model for processing output from myriads of sensors generating continuously a huge amount of data, quite a common problem in military, weather forecasting and SCADA domains. Internet of Things (IoT) is coming and with IoT comes the problem of handling output of multiple sensors. So far, Hadoop is the only only cost-sensible and scalable Big Data management solution capable to withstand massive data assault. I agree with conclusions of Hadoop’s market analysis that rumors of Hadoop’s demise are indeed greatly exaggerated.