We are now living in a data-driven world. When we don't understand something in our studies, we have lot of websites providing respective data. When we are not updated with the release date of our favourite movie, we just surf through the movie websites like IMDB. We can get the recipes of our favourite dishes even in the text format or in the video format. Need a scholar explanation, we have scholar articles available. Whatever, wherever and whenever we are able to access required data just with single touch and sometimes, with single vocal instruction. Data is available over the internet and we just need to use that for our purpose. This article presents you the prominent five ways that data is changing the world and technology around us.
1. Connecting People and Societies:
The best example to start with the influence of data over connecting people and societies is the social media. Before the intervention of social media, communication between people was very limited. When social media started expanding its roots into the society, people became closer. Every individual is able to connect, share, chat and view other irrespective of the geography. On the other hand, social media has become a platform for generating revenue for lot of people.
With the help of different metrics collected from the social media, the firms are able to display precise ads to the users. This has drastically diminished the redundancy in reaching target people for a product. This helped to carry out efficient and effective business that is highly satisfying the customers.
Alongside social media, the way data is communicated over smart phones and other means of communication is keeping up people connected and to be available within fraction of seconds. This enhanced communication media is helping in the cases of emergency, which is the major advantage of data. Though there are several disadvantages, these are overshadowed by the extent of advantages we gain.
2. New ways to Measure, Manage and Control:
To be precise, IoT is the best example to objectify three parameters measurement, management and control. Suppose that a device is connected to the cloud through IoT, every activity of the device is registered and analyzed by the cloud, producing insights if the activity is repeated. The parameters affecting the repeated occurrence of the activity can be measured. Once measured and found that it needs any management, it can be managed either at the resource level or at the production level. The activity can be controlled based upon the necessity of the individual. Data stored improves transparency and a perfection for a given activity.
We have many other sources of data - CC cameras, PCs we use etc; in simple words to say, every electronic device is capable of generating data, including toys for kids. From the age of managing huge physical libraries, we have migrated to minute storage capable of storing volumes of libraries.
3. A profound way to search:
As mentioned earlier, we are able to store data in minute storage devices. Hence, we can search the data we need efficiently. With the help of simple keywords, we can fetch the information we need within seconds. When compared to the previous methods of searches, the mode of search and representation of data fetched for a search has changed drastically. On the other hand, the generation of data in past decade is more than that of the entire data generated by mankind in last century. Hence, there is need of efficient ways to search data that matches the context and pointed towards the requirement. Though the data is being gathered in huge chunks, we are capable of accessing required data even with handheld devices like smartphones and tablets.
4. Activity Automation by Machines:
Do you know that every single activity on your PC is being recorded? You know or not, it is done; even your mouse click and key press. The same way, data related to every single process on your PC will also be recorded. All these activities are stored in the special files called logs, which are automatically generated. Suppose that your PC has generated one thousand logs over a session of PC usage. Extrapolate the forever-power-on servers storing the logs. These logs are generated automatically from the instant when a computer powers up.
Servers and remote machines are not maintained by human beings, instead these are automated based upon the logs. For example, if a server gets more than the threshold number of requests from single IP, the IP is blocked to access the particular server. This is done by automation of servers through security policies. So many such security measures are taken care based upon the logs generated.
5. Enabling New Discoveries:
With data acquisition, there has been several patterns discovered, about different sectors. These patters are now helping in machine learning and artificial intelligence. Deep learning enables machines to scan thousands of medical reports to convert raw data from structured data that helps the doctors to accelerate studying diagnostics. On the other hand, the study of climate patterns has been useful in taking care of people during floods and natural hazards. Statistics collection in the fields like business has discovered many trends that people really are interested in. Data insights over past two decades helped to pave path to different sectors of society.
Read more: Data Age 2025.
The best example to start with the influence of data over connecting people and societies is the social media. Before the intervention of social media, communication between people was very limited. When social media started expanding its roots into the society, people became closer. Every individual is able to connect, share, chat and view other irrespective of the geography. On the other hand, social media has become a platform for generating revenue for lot of people.
With the help of different metrics collected from the social media, the firms are able to display precise ads to the users. This has drastically diminished the redundancy in reaching target people for a product. This helped to carry out efficient and effective business that is highly satisfying the customers.
2. New ways to Measure, Manage and Control:
To be precise, IoT is the best example to objectify three parameters measurement, management and control. Suppose that a device is connected to the cloud through IoT, every activity of the device is registered and analyzed by the cloud, producing insights if the activity is repeated. The parameters affecting the repeated occurrence of the activity can be measured. Once measured and found that it needs any management, it can be managed either at the resource level or at the production level. The activity can be controlled based upon the necessity of the individual. Data stored improves transparency and a perfection for a given activity.
3. A profound way to search:
As mentioned earlier, we are able to store data in minute storage devices. Hence, we can search the data we need efficiently. With the help of simple keywords, we can fetch the information we need within seconds. When compared to the previous methods of searches, the mode of search and representation of data fetched for a search has changed drastically. On the other hand, the generation of data in past decade is more than that of the entire data generated by mankind in last century. Hence, there is need of efficient ways to search data that matches the context and pointed towards the requirement. Though the data is being gathered in huge chunks, we are capable of accessing required data even with handheld devices like smartphones and tablets.
Do you know that every single activity on your PC is being recorded? You know or not, it is done; even your mouse click and key press. The same way, data related to every single process on your PC will also be recorded. All these activities are stored in the special files called logs, which are automatically generated. Suppose that your PC has generated one thousand logs over a session of PC usage. Extrapolate the forever-power-on servers storing the logs. These logs are generated automatically from the instant when a computer powers up.
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| Activity Automation by Machines |
5. Enabling New Discoveries:
With data acquisition, there has been several patterns discovered, about different sectors. These patters are now helping in machine learning and artificial intelligence. Deep learning enables machines to scan thousands of medical reports to convert raw data from structured data that helps the doctors to accelerate studying diagnostics. On the other hand, the study of climate patterns has been useful in taking care of people during floods and natural hazards. Statistics collection in the fields like business has discovered many trends that people really are interested in. Data insights over past two decades helped to pave path to different sectors of society.
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| Enabling New Discoveries |
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