Monday, April 29, 2019

Major applications of data science today

Data Science is a multidisciplinary field that focuses on finding valuable information in large unstructured data sets in their original format. This is done to find patterns and discover insights. It focuses on finding answers to questions in unknown and unforeseen areas. There are many applications of data science, which have a huge impact on human life today. The following are a few of the most common applications in the world today, as well as some advanced applications that have not yet appeared in the future.

Internet search

People around the world use many search engines. Some of them are Google, Yahoo, Bing, Ask, AOL, etc. These search engines use data science algorithms to provide users with the best results for search queries in seconds. With data science, Google can process more than 22 PB of data per day.

Digital advertising

It plays an important role in digital advertising, just like in Internet search. On many websites, digital billboards, shopping malls, theaters, etc. at the train stations and airports display attractive color digital banners, all of which fall into the category of digital advertising. This is one of the main reasons why digital advertising has a higher clickthrough rate [CTR] than traditional advertising. Target ads based on user preferences, dislikes, or behavioral patterns.

Recommended system

It is recommended to add a lot of user experience. The best example is online shopping. When shopping on an online shopping platform, users can find similar or related products from the millions of products available on that particular platform. It plays a major role by studying the user's previous search results and providing recommendations that match the interests of that particular user. Amazon, Netflix, LinkedIn, Twitter, etc. are some of the Internet giants that use the system to improve the user experience.

Speech or speech recognition

Entering long messages or messages can be tedious. Through voice recognition, the user can speak the message to be sent. This will be converted to text. Cortana, Siri and Google Voice are the best examples of speech recognition products in today's world. Through data science, products can learn the accent of users and thus improve accuracy. This in turn will provide better performance. With data science, you can effortlessly complete notes, send emails, and set reminders.

Route plan

Many airlines are beginning to use data science to find strategic ideas and areas that can be improved. By doing so, companies don't have to struggle to maintain their occupancy and operating profit. By using data data science, airlines can detect flight delays. Finding the most economical choice between transport flights or direct flights can also be done using data science. With the rise in air fuel prices and large discounts on airline tickets, data science has become a major requirement for airlines.




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