Instagram, launched in 2010, Today, boasts 800 million monthly active users and is owned by Facebook.  70 million pictures are uploaded to Instagram daily. People interact by showing their love with a heart, commenting, and using hashtags. all of this activity creates an enormous amount of data. Once analyzed, by humans or artificial intelligence algorithms, it can provide incredible business insights into human behavior.

1.Explore Page and Search Function

With the use of tags and trending info, Instagram users are able to find pictures for a particular topic, event, or exercise or even learn about trending locations and restaurants around the globe. With the help of tagging, the search engine tools aid Insta users discover things of attention among the millions of uploaded pictures.

2.Target Advertising

Since Facebook owns Instagram they have a a commendably strong network of analytics information to facilitate target advertising based on what people like, whom they follow, and what they save.

3.Enhance the User Experience

As the quantity of content grows, finding content applicable to each user becomes a lot more complicated. When Instagram transformed its feed from reverse chronological order to show posts they think users will discuss and love, machine learning algorithms had been placed on the job to sort the info and to better find out over time what's most pertinent for each user to make a personalized feed.

4.Filter Spam

Instagram uses AI to combat spam. The spam filter has the capacity to remove fake messages from accounts written in nine languages that include English, Russian, Chinese, Arabic, and more. Upon detection, such messages are automatically removed. Instagram uses Facebook’s AI  text analytics algorithm “DeepText” which is able to recognize the context of a message almost as good as humans.

5.Fight Cyberbullying and Delete Offensive Comments

With the unfortunate difference of owning probably the biggest cyberbullying problem of any social media platform, they grew to become the first person to use machine learning to immediately remove offensive posts. In line with the good results of using DeepText to recognize spam and get rid of it, Instagram officials started seeing it as an answer to determine and get rid of feedback that violates Instagram's Community Guidelines.

6.Study the Human Condition

In a study, 100 million Instagram pics were used to understand global clothing patterns.  What would have been an impossible amount of data to review is now possible due to machine learning. This work showed the potential for machine learning to help extract insights when studying humans and economic, social, and cultural factors around the world. This study showed the power of big data and technologies like computer vision, automated analysis algorithms, and machine learning to analyze enormous data sets that are created by social sites to gain insights into the world around us.

7.Instagram bots

These bots are used to automate the user’s account communications. These do everything from liking comments to posting comments on another person’s content. This is an exceptional way of boosting engagement, for example, would be Kenji.

8.Crisis Communication

Instagram has apparently been making use of its Big Data for crisis communication. For example, during 2012 Hurricane Sandy, Instagram was instrumental in connecting the victims of Sandy. Thousands of pictures were embedded into tweets in the 2 week’s time. This helped people know about the change in affairs surrounding disasters while also helped the victims get through to their families as the people active on social media can see that their loved ones were safe, while also getting a good look at the storm.