7 big data applications that will be a reality in near futureHarshali Patel
As we know, how Big Data is in Buzz nowadays. But it's time to discuss, what are the possible Big Data Applications that will be a reality in near Future and this article is all about that. Here we will discuss the most possible 7 Big Data Applications that will be a reality in near Future. So, let's begin with Market Predictions on Big Data to understand well.
The increasing volume of data
We can say it is a sea of data, in which we swim … however, the level of the sea is rising rapidly.
Since data is growing at a rapid pace, according to predictions, by 2020 there is a possibility that new information generated per second for every human being will approximate amount to 1.7 megabytes. And, by that time, from 4.4 zettabytes data will increase to roughly 44 zettabytes or 44 trillion GB, the accumulated volume of big data will increase.
Market Predictions on Big Data
Below image shows the actual Market Predictions on Big Data.
7 big data applications
Here we are listing some possible Big Data Applications, that may come in near Future:
i. 3D printers in the healthcare sector
As we know, now 3D printers are here and they will also stay. There is no fixed shape and size of it, it comes in all shapes and sizes and many different industries are already using it. Even it can print kneecaps, joints, and hearts along with living cells. Hence, that day is not far when we will be able to print complete organs. That says waiting lists for donor organs will become a thing of the past very soon.
Apart from the healthcare sector, undoubtedly, inexpensive home printers will print out any household object we desire, by 2020. However, its applications are endless. The more and more complex industrial printers won’t cost more than 800 euro, in the future hence we will easily see them in any possible industry like construction, education and health and many more. Just imagine, we’ll be printing vehicles, furniture, organs, or the latest fashion everywhere. Especially with almost no cost.
• Big Data’s Role in 3D Printing
One of the factors truly taking the concept of 3D printing to the next level is big data. That says Big Data plays a pivotal role in the growth of 3D printing. The 3D printing reliance on big data is increasing as same as the number of uses for 3D printing is growing. Basically, 3D printing is complex technology that now requires more data to perform its many capabilities. In the manufacturing sector where 3D printing already has a firm foothold, this can probably best be seen. That says as a contributor to the computer-aided design, Big data plays a major role. Also, in the quality control aspect of 3D printing product creation, Big data has a role to play.
ii. Wearables tech: Monitoring our activities
A new wave of development came with Wearables tech. In these techs, everyone and everything is linked. The Fitbit is an example of wearable tech. Basically, it is a fitness tracker which monitors our physical activity. Especially, it measures the quality of our sleep, and also helps us to eat better, exercise more.
In addition, it keeps track of how often we wake up or before we fall asleep how long it takes. Also, it notices what may keep us awake, whether it is that strong espresso we had at 5 pm? And in the years ahead smart wearables will replace FitBit-like technology with band-aid type patches, implants, and ingestibles. Hence, That will mean a lot to our health if we will be able to monitor and analyze our body ourselves.
• Big Data’s Role in use of Wearables tech
Well, the question arises about Big Data’s Role in Wearables tech. Big Data can provide with customized recommendations and suggestions in the usage of wearable tech. However, the combination of Big Data and wearable tech can be very powerful indeed, for marketers. Also, it is very important that data gathered from wearable tech must be properly explored or analyzed. And, we very well know, it is a Big Data. Here Big Data refers to the huge variety of information collected.
Basically, the big problem here is speed and volume. Hence at this place tools and techniques of Big Data come into the picture. When we use pattern recognition and machine-learning-based predictions for drawing insights and also offers suggestions accordingly, we need Cloud computing and parallelism to handle this outpouring of information. Thus it is possible through Big Data toolbox.
iii. Integration of Internet of Things
Many technologies are integrated with IOT as it’s fast developing into a network where absolutely everything is connected. Like from factory machinery to entire urban energy networks and wind turbines to home appliances. It’s a good example is smart factory. Here when other machines need to be serviced, and maintenance is carried out by robots, machines know all this. By smart control systems, maintenance data is then analyzed that predict future service focus areas. whether the maintenance is carried out correctly and safely, this is the only thing human technicians still need to check.
Rather then that, the smart fridge is a beautiful example. It keeps records of what and when we buy and eat, and when it’s time to order new groceries. Soon it will order a fresh supply from the supermarket, as soon as we run out of food. For that, it will check our electronic pill of course, to knows which products promote optimal health. Then from the nearest pickup point, our self-driving car will collect our groceries with automated payments running in the background.
Well, in near future every single thing will have a digital layer which enables it to communicate with the cloud. That implies things will no longer be able to function independently, they will be useless unless connected to each other and to the IoT. Hope soon Smart fridge will verify the expiration dates on our food products but for that, it surely needs to be connected to the products, us as well as the supermarket for permissions. However, it may skip that step as well.
• Big Data’s Role in use of IOT
In simple words, a vehicle of big data is what we call the Internet of Things. Basically, that is collecting and sending that data. Moreover, where IoT information goes, lives and is measured against, is Big data. Simply we can put, an origin of big data is the Internet of Things. While it comes to Smart fridge, we can say, for the most part, our refrigerators, aren’t connected to the Internet, today. Although, we are going to connect them to the Internet, in the not so distant future, along with the manufacturer, who is going to gather information like:
• No. of times we open our refrigerator door?
• when you open the door, for how long you open it?
• Or you run out of which foods most frequently?
Without even knowing that we’re sending data, we’ll be sending extensive amounts of data; so, at this place, Big Data came into the picture.
iv. Humanoid Robotics
A new scientific era with endless possibilities has started by the emergence of robotics. Robots are everywhere, on land, in the oceans, and in the skies. They’ll assist us in the army, in our factories, and pin hospitals. With time they are becoming smarter and smarter and will soon be able to solve complex problems due to their contact with an endless number of sources.
The first humanoid robot introduced to the public was the 90-centimeter tall robot ASIMO. ASIMO refers to Advanced Step in Innovative Mobility. It works for several hours with one single charge. With the sensors in the lower part of his torso, he has cameras. It can climb stairs, pick up objects, and even ‘run’. But at a moderate pace of six kilometers per hour.
However, we will no longer be able to tell the difference between certain types of robots and humans, in ten years. Also, robots will be able to make independent decisions, aided by data, algorithms, and sensors according to the developments in artificial intelligence, by 2020. They say robots will be able to feel, taste and smell by that time.
• Big Data’s Role in use of Humanoid Robotics
The concept of Big Data has long been a part of the world of robotics, even the term "big data" is relatively new.
Moreover, director of Auton Lab at Carnegie Mellon University, Artur Dubrawski says "Robotics was always about data”. It is about repeatedly executing the three-stage sequence such as sense, plan, and act."
However, all these steps involve the very intensive use of data. Here is a huge variety of sensing modalities, like range measuring sensors, position, visual, tactile sensors, and other modalities. And, few of these produce large amounts of data. Hence, that implies integration of Big Data and Robotics have a long history without necessarily labeling it as such.
v. Autonomous drones
Drones offer solutions to many challenges like everywhere. With sensors and cameras, these ingenious pieces of technology are connected to other systems. Also, it can help the police force and deliver parcels, construction industry, the military, agriculture, journalism and the film industry. However, its applications are endless.
The rope bridge is a great example of it. An experiment by researchers from the Swiss Federal Institute of Technology proves it. They made a rope bridge, by a group of drones without any human assistance. That result in significant time as well as resource savings.
• Big Data’s Role in use of Autonomous drones
The use of drones and the big data trend has grown in popularity at the same time. Even if they seem different, but both big data and drones are moving on a collision course. They both together could lead to some unique and innovative uses for a huge variety of real-world problems. However, use cases which are already in practice are agriculture, wars, natural disasters etc.
Vi. Criminal Investigation
• Big Data’s Role in use of Google glass
In every possible aspect of our lives, Big data is becoming an increasingly important link. Not only preventing and reducing, but it is also helping us to predict anything and everything. Moreover, it is helping in many ways, like to use our time and resources efficiently, to monitor our health and also to stop using which is detrimental to our wellbeing. So, while it comes to Criminal Investigation, it is helping us trace and identify terrorists and to predict and prevent criminal activity.
Los Angeles and Santa Cruz Police stations are a great example of this. They build a customized software with the help of Big Data tools and techniques which can predict with a location accuracy of approximately 46m2, that where criminal activity is likely to occur, in collaboration with the company PredPol. As a result, 33% reduction in burglaries and a 21% reduction in violent crimes is in the notice, especially, in the areas where the software is being used.
vii. Virtual or Real
In the recent years, one more innovative gadget developed is Google Glass. We control it with our voice, and it works as a kind of extension of our Smartphone. It accesses the Internet, plays our favorite music, also takes photos and videos. Recently, via Google Glass units, Virgin Atlantic Airlines provided their passengers a detailed flight information.
In addition, in Skype and in games such as Minecraft, VR wearable already has a number of test applications. This prototype offers good image quality and also controlled with hand gestures, head movements as well as speech. However, for businesses as well as consumers, the device has huge application potential. As a developer, you can build all sorts of interesting functionality for it, but there are no ‘official’ applications yet. Although, to keep an eye on the future developments of these and other virtual reality headsets, is certainly interesting. Also, we can say our imagination is only limit!
• Big Data’s Role in use of Google glass
Basically, in making anticipatory computing perform how it is meant to, Big data is very important. The role of Google Glass is not limited to allow users to find, create and share content. It also can “tag” people or places that help to describe an item and permits it to be found again whether by browsing or by searching. However, by the item's creator or by its viewer, tags are usually chosen on the basis of the system. As a result, it makes metadata sets which eventually shape the world in the digital space. Hence, we can say the line which is in the middle of the real, as well as virtual, will eventually be one big all-in-one virtual system.
As a result, we’ll be seeing many changes in technology in the next ten years than we’ve seing in the last hundred. We have never experienced such rapid technological developments before.