Will IoT change our lives?

IoT and Big Data

Everything we know on Earth will one day be a data generator, including our homes, cars, and even our bodies. Look around and see devices connected to the Internet. Smartphones, computers, digital TV, smart clocks, wearables, video games, cars, and even refrigerators. Outside the house, objects of all kinds are connected. Traffic lights, ATMs, GPS, satellites, airplanes, cars, and factories, among others. With a smartphone, everyone can control the light of a house, temperature, or invasion. By the year 2020, it estimates that 250,000 vehicles connected to the Internet.

We call this the “Internet of Things” or (IoT). It is a global network of devices connected. Generating data, and creating a conscious, autonomous, and actionable system, without human interaction.

The planet has 8.3 billion connected devices, which is more than the world’s population. There is a prediction that 75 billion devices will be connected by 2025.

Data generated by IoT bring the volume and speed that interest to Big Data applications. Big Data and IoT go together.

·??????The volume of data in the world should reach 163 ZettaBytes by the year 2025 (IDC). IoT will generate most of this data.

·??????By the year 2025, an ordinary person will interact at least 4,800 times a day with connected devices.

·??????Smart meters to optimize electricity consumption, fleet management, automated inventory, patient monitoring, and connected cars are Big Data applications with IoT.

IoT Applications

The Internet of Things (IoT) is one of the most promising areas for Big Data applications.

The IoT connects any “thing” that generates data to the Internet: devices, wearables, video games, cars, appliances, satellites, aircraft, in short, a whole range of sensors and devices, generating data without stopping. Industry experts have identified IoT as the next Industrial Revolution or the next Internet, believing that it is the future form of the physical world interaction between government, business, and consumers.

It is possible that the number of connected devices worldwide will reach 50 billion in 2020 and investments in IoT will be $267 billion this year. According to Ericsson, the IoT will surpass the smartphone as the largest category of connected devices in 2018. It is possible that IoT will become the most significant application area of Big Data, or at least require a more considerable investment of resources and the attention of companies.

Business advantages with IoT

·?????IoT is in its infancy but will impact companies considering the speed that is transforming the Big Data market.

·?????Companies can take advantage of IoT, getting a more comprehensive and sophisticated intelligence to better understand the preferences, behaviours, and feelings of the client.

·?????With more data volumes, companies get more intelligence and can discover more elements to be explored to improve business performance, saving time and money.

·?????IoT provides faster and more flexible data analysis and increases the ROI of companies that are looking for robust strategies of IoT to implement.

·?????The so-called “bots” (scripts and automated programs) and Machine Learning, combined in an automated architecture with the power of Big Data analysis, can provide immeasurable value to the business.

·?????IoT brings greater operational efficiency primarily to the operations of the supply chain, an appropriate area for the use of this technology, where the IoT ecosystem maps the effectiveness of existing processes in detail and uses this information to reduce cost structures.

Some applications of IoT implemented with Big Data are:

1 — Energy Power Management

The economy of energy consumption requires sensors to gather data on their use and send for analysis of Big Data. Individual devices can collect data in real-time from buildings and machines to which they are connected. This information can be cleaned, consolidated, and shared with energy providers to more efficiently utilize energy in buildings. That will decrease public utility costs, improving the quality of life of residents.

2 — Military Operations

Sensors can be included with weapons, transport equipment, and other war machines. The collected data of these devices allow preventive maintenance and maintenance schedules, based on past trends. In this way, the military can work with the highest possible security and at the lowest cost.

3 — Health

IoT brings disruption to healthcare, transforming modern medicine into something more simple, practical, and inexpensive. That allows physicians to deal with patients in remote locations, online monitor the health of the elderly, evaluate glucose levels, prevent heart attacks, and get a complete historical patient for years in comparative graphs. IoT may permit providers and health networks the ability to monitor and manage centrally locally, increasing efficiency, effectiveness, and quality of care. The application of the IoT in health is delightful because it affects us potentially to diagnose, treat and prevent diseases more efficiently, and save countless lives.

4 — Sport

IoT is revolutionizing the sport. It became a means of obtaining detailed information about the condition of an athlete before, during, and after a game. The data management tools can be utilized to combine datasets from doctors, physiotherapists, sports scientists, and other sources. Data collected from IoT devices can mitigate the risks related to sports injuries, and help teams compete more effectively. Predictive analytics are applied to the data to anticipate the future performance of an athlete in competition as well as its potential longevity.

5 — Aviation

One of the areas of use of IoT is in aviation, with hundreds of sensors detecting mechanical anomalies in real-time. Internet of Things devices is used to avoid delays and keep passengers safe, sensors to monitor the movement of baggage, and instruments to control the cabin pressure, temperature, and other services on board.

6 — Virtual Assistants

You probably heard a lot about some of these virtual assistants like Siri Apple, Amazon’s Alexa, Google, and Microsoft Cortana Wizard. These virtual assistants use voice recognition and provide answers from a variety of commands such as playing music, reading the news, setting alarms, controlling appliances, ordering a pizza and paying bills.

Many companies are discovering these virtual assistants to send meeting reminders, provide instructions for events, share data with other applications, and many other uses.

Predictive analytics can be applied to search for patterns and trends in data from these devices, discovering which factors have more influence on the results and anticipating what is likely to occur based on current and historical information about the device.

We can identify the musical taste of a hotel guest, or the level of interest in the weather forecast or movie listings. Data collected by virtual assistants can be beneficial for improving enterprise business.

Conclusion

As grows the use of IoT, increasing volumes of data, and raises more and more the importance of Big Data applications.

The data are of genuine importance for the survival of companies, and consequently, it is time to give attention and significance to them, considering the context, interpretation, and value of the IoT strategy.