1. Media and Entertainment
People have always asked for a simplified search base, something they can use at any time, regardless of the situation. That’s why massive players in the entertainment and media industry had to up their game. Data science tech made that possible. Companies in this industry use it for:• Individual marketing
• Sentiment analysis
• Real-time analytics
• Recommendation system
• Distribution of content
• Analyzing and collecting client insights
Take Netflix and Pandora for example. These platforms have managed to take their services to a whole new level. By analyzing behavioral patterns and client’s preferences, these platforms can now extract shows or music from their database to recommend to clients. Users can create a watch list based on a specific category (genre, favorite actor, popular options, etc.) Data science analyses the client’s viewing or listening habits and allows the platform to customize their services every week as per the client’s preferences.2. Shopping Online
Thanks to data science, the eCommerce industry is vastly on the rise. According to statistics, online shopping is predicted to reach $4.5 trillion by the end of 2021. The reason for that is relatively simple. When someone is looking to buy something online, e-commerce sites will offer suggestions of something similar to what the client has ordered before. They can offer popular recommendations or something they might be interested in based on their search history. This is all the result of data science. With this tech, online shopping websites can massively boost the user experience and analyze gigantic pools of customer data to understand their likes, patterns, and preferences to sell more products.3. Internet Browsing
If we want to know something, write some homework, or search for anything, we just “Google it”. Google analyzes around 10 to 15 exabytes of data every single day, all thanks to data science. All search engines like Safari, Firefox, Opera, etc rely on data science algorithms to give us the ultimate results in just under a second. If this tech didn’t exist, the search engines would be completely different from what we know them today.4. The Finance Industry
This industry has always been focused on data, long before data science came into play. For the finance industries, data is a valuable asset and fuel. But, decades ago, analyzing and collecting this data came down to piles and piles of paperwork. Data science is now more convenient. Companies can divide and conquer that data to their advantage. With this tech, it’s possible to avoid financial fraud, trace and track credit cards, collect and analyze data much faster. Because of data science, banks have enhanced their security and other industries that store sensitive client information now have a way of protecting it.5. Digital Marketing
Data science is an essential factor in online advertising. It has now become the norm. From creating display banners on various sites to sharing digital billboards, this tech has always been responsible for attracting more consumers. Its algorithms are well-made to track clients’ past behaviors and find ads that will suit their taste. These ads can pop up when clients are watching videos or browse social media. Statistics show 85% of people have a higher chance of purchasing a product after seeing it in a video. This method has been so popular that companies in 2019 spent around $306.59 billion on media and digital ads all around the world.6. Facial Features Recognition
Face recognition is now part of our daily lives, especially with photo filters. But, this technology was considered impossible for our predecessors. It’s what we call the “wonders” of AI tech. The role of data science is to:• Detect objects
• Identify features
• Recognize patterns
Regardless of the texture or facial expression, this technology can still identify matches based on the database. That means colors, shapes, and different images are now all part of the facial recognition technology.
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