Share 8 Shares Digitalisation and the new technological possibilities that artificial intelligence AI brings are driving the biggest social and economic changes since the industrial revolution. These are associated with opportunities and risks. Without the right political, economic and ethical framework conditions there is a risk of uncontrolled development and a negative impact of AI.
The concept may have been bubbling away in the industry for a long time, but the democratisation of computing technology through the availability and affordability of small computing devices has now pushed it firmly into the mainstream.
So how did we get to this point?
In essence, it is about the computing power being decentralised, agile and mobile, freed from the confines of the home and office, a traction evident with the arrival of laptop and then the netbook that meant we could work on the go.
The smartphone heralded a new era of fast and interactive data sharing and then the proliferation of sensors took things to another level.
The role of the Internet of Things in developing smart cities Devices brimming with intelligence — functioning natively within their respective environments to enhance our interaction with the world around us signalled the emergence of the true IoT.
What drives this cycle and the continuous innovation is primarily the constant push and pull of new miniaturisation technology driving further computational decentralisation. This digital computer, adapted for the control of manufacturing processes for General Motors, provided a means to generate and transmit digital information, so that hardware devices could digitally communicate with other interfaces and no longer had to work in isolation.
Throughout the s and early s IoT was a given in industry and largely confined here with the high costs of micro-controllers and sensors proving to be prohibitive from a consumer perspective. The consumerisation of IoT would require economies of scale to make manufacturing sensors and micro-controllers less costly.
These economies would not emerge until small portable computers and smartphones became nearly ubiquitous and saw designing and manufacturing of Systems on a Chip and low power sensors evolve. Consumerisation of IoT With the advances in miniature computers and their increased affordability and availability, along with miniature sensors, IoT was ripe for consumerisation.
The issue standing in the way of mass adoption of IoT as a paradigm outside of industry has been the control aspect.
The Internet of Things and the consequences of downtime IoT devices represent rudimentary decentralised computing, they are individual self-contained devices that can communicate and receive instruction from other computer devices.
The issue is how do you tell them what to do, and how do you make use of the data that sensors are collecting? Traditionally this had always required some kind of central computer to hold a rule set and act as a command and control server.
However, as the average consumer does not have the will or know-how to set up a control server in their house. IoT would need to shake of much of this complexity to become a mainstream opportunity.
Leveraging mobile As smartphones became near ubiquitous, it quickly became obvious that the perfect device to act as this command and control server was the mobile that people always have on them.
As a bonus, this device could gather additional context itself using its embedded sensors as well as user location and behaviour. For example, your connected thermostat can know if you are home or not by using the location of your phone.
While using the phone as a control device is necessary it did prove lacking as the primary control server. Where it used to take a significant investment in capital and labour to set up a connected smart home, now it is a matter of buying off the shelf IoT devices and connecting them together.
Almost any device you use in the home now has a connected smart version from light bulbs and thermostats to tea kettles, fridges, and ovens.
Additionally, devices that sense the state of a room are widely available in the form of motion sensors, proximity sensors, thermostats, humidity sensors and more.
The smart home market has settled on the hub approach to controlling your IoT devices which helps account for the different people that use the devices. These hub type devices are being used to bridge the different communications protocols used by IoT devices and hold and control the ruleset for the house from a central place in the home.
This means a consistent rule set and performance can be achieved while still giving individual users the convenience of using their mobile phones to interact with the hub and change any rules or manipulate devices around the house. The release of Alexa and Google home this year has increased the demand for smart home technology amongst consumers.
Wearables Wearables is a fast-emerging category of IoT, encompassing any computer you wear on your body, usually hooked up to peripheral sensors heart rate, temperature, barometer, etc. Currently the biggest wearable computing sector is smart watches.
Smart watches enable you to gather data on your vital signs and activity levels and run various levels of analytics on this data related to health or activity monitoring. Being general purpose computers, smart watches can also run software and communicate with your mobile phone.Impact of Wireless communication on business: Wireless communication technology can have a significant impact on business.
Wireless communication is also known as Wi-Fi (Wireless fidelity) or WLAN (wireless local area network), uses low-power radio waves to transmit data over distances from one device to another without the use of wires, allowing senders and recipients to access information .
What is the biggest impact of IoT in the workplace? Update Cancel. These devices when paired with artificial intelligence can offer a host of other features and carry out marketing effectively.
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