In this blog, we are going to look into the many ways data science is/can be used for.
1) Handy to Book a Ride
While you wait for your cab and forget all about it once you reach your destination, a team of data scientists works around the clock to solve problems, enhance the user experience, improve geo-mapping, and conduct research on driverless cars.
They do all the homework on how congested the route is, who is the most approaching driver, the vehicle they have, and the weather and gives you an ETA and ride fare.
2) Logistic Companies
Brands like Amazon, Flipkart, and E-commerce websites/apps make use of data science to decide which product will be required in which areas. This helps them keep the products in stock so that they can be shipped in an instant mode.
Additionally, delivery agencies like E-kart, DTDC make use of data science to estimate the traffic pattern, possible obstacles, and weather patterns to decide on the best route.
3) Intelligence to Find the Next Show
To stay in the competition and to maintain high user satisfaction, the OTT platforms need to take advantage of modern technologies such as artificial intelligence, machine learning, predictive analytics, etc.
Based on your entertainment consumption, video streaming applications guide you through the next thing to watch. Channels like Netflix, Amazon Prime, and others OTT platform apps do not just use data science for their recommendation system but also to curate unique content based on user recent activity on their apps.
4) Capable to Find a Companion
Dating online is now one of the most common ways to meet your significant other. Apps like Tinder and OkCupid have modified how modern-day love and companionship work. They use data science to train their matching algorithms, which are based on information provided by app users.
5) Preventing Global Warming
The data from multiple satellites, combined with the insights from organizations about deforestation and other similar insights would help get answers about climate change. From this data, scientists will be able to observe the earth’s condition and suggest ways to deal with climate change issues such as global warming.
6) Levelling the Curve of Pandemics
In today’s time, the biggest dilemma staring at us is that of the coronavirus pandemic. The virus has confined everyone in their homes as the entire world is under lockdown, while the impact of COVID-19 on industries is more than severe and terrible. The only way we can get out of this situation is through the understanding of the hotspots and how the virus is traveling between locations. And this understanding only comes through data analysis.
Through data science, healthcare clinics and agencies can track the areas where the virus spread is increasing and pass the information to the health officials so that they can take timely responses.
7) Helping Developers become the Best Chefs
With the help of Data Science, a developer can become the best chef by making the best Pizza for themselves. Data Science is being used to identify the taste patterns of a person which usually varies from person to person.
So, with the help of data science, you may not make the best pizza for everyone, but surely the best pizza for yourself.
8) Social Media
We have some great names like Google, Facebook, and Amazon, that use data science in their day-to-day operations. From google.com to YouTube to Facebook everything is the perfect definition of Data Science.
Facebook’s facial recognition system and even the fact that a user needs at least 10 friends to stay active in this social media platform is a well-researched move. Facebook is associated with all major websites that customers use for e-commerce. This helps generate ads as per individual preferences.
Big data analytics along with social media analytics are used to support marketing strategies, including measuring marketing performance KPIs, tracking campaign success, and creating personalized ads and content based on consumer sentiment.
So, here was our part on how data science can change the world and our everyday life. And this list is not exhaustive, data science is used in fraud and risk detection, speech recognition, augmented reality, targeted advertising, gaming, banking, finance, healthcare industry, and much more.
Data Scientists are the backbone of data-intensive companies. The purpose of Data Scientists is to extract, pre-process and analyze data. By this, companies can make better decisions.
In the end, the goal of a Data Scientist is to make businesses grow better. With the choices and insights provided, the companies can adopt appropriate strategies and customize themselves for improved customer experience.
Published with permission from our partner Perfect e-learning.