Future of AI in Social Media
Artificial intelligence (AI) is no longer a pipe dream; it is already here and set to revolutionize society. It has already had an impact on our world and assimilated into our daily lives in a way that we are unable to even begin to comprehend. A study predicts that by 2023, social media will use AI to the tune of $ 2 point 2 billion, up from $ 0 point 6 billion in 2018. These statistics demonstrate that there is no disputing the growing importance of AI in social media.
How will you know if you are technology ready in 2022?
AI is effective because it employs clever algorithms to process vast amounts of data and derive insightful knowledge from it. Users of social media platforms like Instagram and LinkedIn can now receive personalized feeds, improving their user experience, thanks to AI-powered algorithms. Did you know that AI and Machine Learning (ML) algorithms enable features like job recommendations on LinkedIn or face filters on Snapchat and Instagram, two of the most popular social media platforms?
Large-scale data processing, swift iterative processing, and clever algorithms are how artificial intelligence (AI) functions.
If we consider Facebook or Instagram, these platforms use ML-powered algorithms to gather user preferences and suggest similar posts and advertisements. When you use Facebook, it collects your interest areas, the videos, images, or posts related to a specific topic that you read or watch, and based on that analysis, it recommends the posts or areas that interest you and keeps on offering content as you scroll indefinitely.
Recommendation algorithms screen users who behave similarly to you online and give you recommendations based on what users who have similar browsing patterns are seeing. In essence, artificial intelligence and machine learning make a task that seems difficult seem easy.
Over the past ten years, video recognition has become increasingly popular in various industries. As one of the first tech companies to use facial recognition to identify people in pictures where they haven’t been tagged, Facebook made its debut in early 2010. But as of right now, facial recognition technology has advanced sufficiently to be able to detect facial emotions.
It is fascinating to see tools that can converse, interact with people, and respond to various topics, such as Apple Siri, Amazon Alexa, and Google Translate. With the aid of Artificial Intelligence (AI) technology, Natural Language Processing (NLP) and machine learning, this is now possible. NLP is a method that enables computers to comprehend human language.
The text-deciphering algorithm is another one that social media platforms use. Decrypting text is a technique for encryption. Facebook has been successfully filtering the data from comments and other posts on Facebook and Instagram using a Deep Learning engine called Deep-text.
LinkedIn makes use of machine learning algorithms to suggest users for connections, recommend candidates for jobs, serve up relevant content in feeds, assist advertisers in reaching a niche market, and track conversions.