61% of current internet traffic is generated not by humans. And while this survey is talking about bots, malware and impersonators, there are already over 26 billion things lined up by humans to get on the internet and start talking.
We’ve gathered in the recent years so much data about consumers and citizens, that Big Data became Dark Data, and we are (?) in need to interpret it. The greed for information about everything in our environment, and inside ourselves, as well as far away, is so high, that mathematicians are looking for solutions how to interpret data without human involvement, but under human directive. We humans have, after all, more necessary things to do than process in person Big Data. We only want to be alarmed if this Data spews important patterns. If we are talking about disruptive technologies, this is one of them. It will impact us all. It is inevitable that people will lose jobs, migrate, change status quo, political systems and economies will fall and new ones will emerge.
Anything that can be addressed by either radio frequency or uri (Universal Resource Identifier) makes up an Internet of Things. Or in other words: IoT is made of connected devices that don’t require direct interaction.
How IoT (Internet of Things) can change economical and political landscape?
What are some of the products of IoT?
Opportunities lie in two base areas: information and analysis (tracking and sensor-driven decisions), and automation and control (process and resource consumption optimization and complex autonomous systems).
This has already happened:
Location based services and tracking analysis (we are all ‘walking chips’ through the devices we wear or carry.):
Contactless tickets (think transportation, retail, and bank cards). Strategists say that snowballing of this trend can make paper money in big cities obsolete.
Geriatric care – taking stock of people’s health, at their own location. Getting in-time help to people who live alone or have health problems.
Early warning signals on pandemic, with geosensing of trends in shopping and other behaviour – doctor’s visits, work absence etc.
Atmosphere, water and soil monitoring – what we are breathing, drinking and how climate is changing around the world
Complex autonomous systems (Self-adjusting manufacturing, storage and environmental service):
Monitoring of farming fields for the condition of crops and adjusting supply of water and fertilizer
Food control – sensing expiration date, manufacturing only enough to satisfy demand without waste
Heating management automation that will save energy – knows when we wake up to increase heating for the day, not heating empty spaces; better balancing of energy grids to energy demand
Machines identifying galaxies – have discovered more galaxies in the last 2 yrs than last 50 yrs
Governing bodies have enormous amounts of information, but need IoT to interpret this Big Data – The question asked is: how do you drink from a hydrant? It is too much data to interpret by a human or even for a storage in a Cloud.
Online storage, including upload and download of data necessary for processing is not energy or resource efficient, or even possible. So far most stories about the Internet of Things focus on the product and not on the infrastructure needed to power these products. Efficiency requires that Big Data is processed locally, near its origin – on the edge of current internet and intranet networks. New apps will process data from things that existing networks sense in their vicinity.
Since Big Data became also Dark Data (lack of processing resources and processes to make some meaning from its content), mathematicians and IT specialists are trying to find the right solutions. Reading Dark Data has to be based not on content filtering, but on recognizing patterns in real time and making judgments that are not directly inputted by humans case by case. Machines will have to decide what’s important to us.
Reliability of machines is not better than that of humans. Machine, as well as a human body, is failure inherent. Fraudulent activities exploit machine failures, so integrity of IoT becomes very important.
Remote control of infrastructure, grids, plants, transport and traffic makes it extremely vulnerable to unwanted takeovers. Security becomes crucial to be interpreted in time, and multi-layered. How do you secure billions of little devices located everywhere?
IoT is pulled in different directions: IT visionaries who realize infrastructure scalability challenges with Big Data, point that small data, snippets of info transmitted over blue tooth devices to a local hub like smartphone, which in turn transmits it over larger distances is smarter way to go than reconfiguring end products. Adding intelligence to ordinary objects that are also disposable is one of IoT trends.
There is huge money to be made on Internet of Things. And that’s why it most likely will not be built in any open standard, say Americans.
We’ll have cool things, but they’ll all be siloed away in a closed, proprietary fashion. – says Max Baxter-Reynolds
Others (azeti Networks Social.Sensor.Cloud) are building open source communication protocol for a universal connection of sensors and actuators to talk the same language, and then subscription and billing protocols to monetize a global society of sensors as the basis of ambient awareness.
The biggest giants have gotten involved early. Names include IBM, Cisco, HP, Samsung, Hitachi, Google, Facebook, telecom companies, universities, almost everyone digs in it now.
Internet of Things is said to allow for greener planet with reduced waste, and savings of raw materials and energy, but at what cost? What impact on humans’ health will have omnipresent radio frequencies, and what impact on our autonomy will have a complete recording of human activities?