Big applications of data science today

Data science is a multidisciplinary field that focuses on searching for valuable information in large, unstructured datasets that are in a raw format. This is done to find patterns and discover ideas. It focuses on finding answers to problems in unknown and unforeseen areas. There are many applications of data science that have a huge impact on human life today. The following are some of the most common applications in the world today and also some advanced applications that will be coming in the future.


There are many search engines used by people all over the world. Some of them are, Google, Yahoo, Bing, Ask, AOL, etc. These search engines use data science algorithms to provide the user with the best results available in seconds. Thanks to data science, Google can process more than 22 petabytes of data daily.


It plays an important role in digital ads as well as internet search. The display of attractive and colorful digital banners on many websites, digital billboards at railway stations and airports, malls, theaters, etc., are within the spectrum of digital advertising. This is one of the main reasons why digital ads get higher CTR than traditional ads. Ads are targeted based on a user's tastes, tastes, or behavioral patterns.


Recommendations add a lot of user experience. The best example is online shopping. While shopping on an online shopping platform, the user can find similar or relevant products from millions of products available on that platform. It plays an important role by studying the results of a user's previous search and offering recommendations that match that user's interest. Amazon, Netflix, LinkedIn, Twitter, etc. are some of the internet giants that use this system to enhance the user experience.

Speech or voice recognition

Writing long messages or emails can be tedious. With voice recognition, a user can speak the message to be sent. It will be converted to text. Cortana, Siri and Google Voice are some of the best examples of voice recognition products in the world today. With data science, the product can learn the user's accent which will increase accuracy. This in turn will deliver better performance. With the help of data science, making notes, sending emails, and setting up reminders can be done effortlessly.


Many airlines have begun to use data science to find strategic ideas and areas for improvement, and by doing so, companies do not have to struggle to maintain their occupancy rate and operating benefits. By using data science, airlines can detect flight delays. Finding the cheapest option between transit flight or direct flight can also be done through data science. With rising fuel prices and huge discounts on airline tickets, data science has become an important requirement among airlines.