Applications of data science

Applications of data science/AI

In this post we list down 5 applications of data science .Each application will help you visualize and understand how diversified data science /AI has become.

E Commerce websites

The most common use of AI that you can think of in today’s world is in recommendation systems. E commerce platforms like Amazon and flipkart have a feature which shows you products that are similar top the one you are viewing or may have viewed in past . Such features are based on learning algorithms which use either your history or the products internal data to suggest new similar products.

Similar is the recommendation system of Netflix.

AI IN E-commerce
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Medical and healthcare

Recently many advancements have been made in the medical domain where intelligent softwares are being used in order to predict the presence of diseases and helping to diagnose them. Many intelligent softwares have been developed which can visualize patterns from images like CT scans , X-rays and give meaningful insights. One such example is using brain scan results to predict the presence of tumor or possible tumors.

Also many wearable products are being produced which can sense/record your heartbeat and give you warnings and insights about your physical conditions.

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Over the last few years banking has majorly shifted towards the online domain. And with that has increased the chances of frauds and cyber security issues . Your bank details /personal data are recorded during transactions and their security is of peak importance . AI has helped Finance companies to come up with models that can detect and flag fraudulent transactions .

Algorithmic trading and stock price prediction is yet another field where AI/data science is being significantly being used.

AI in finace
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Social media

Ever imagined how you get friend recommendations on Social media platforms. The idea behind the feature is to predict “what are the chances you might follow a certain person” . Platforms like facebook and instagram uses the data of its users to build models that can help them with making such decisions. Graph based algorithms are used to study the connections and build solutions

graph data science
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Automobile industry( AUTO-PILOT)

Various automobile companies are coming up with autopilot technologies , TESLA particularly famous. The Intelligent softwares try to learn and replicate the behaviour of a human driver. Tesla autopilot provides features like Lane changing , auto park , summoning car in parking lot and more. The idea here is to collect data from immediate surroundings and make human like sensible decisions. Various sensors are present which collect data from the surroundings.

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Above we discussed 5 basic domains where Artificial intelligence is used . There are many more real life problems which are solved using intelligent and learning based programs. Feel free to explore more!

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