When AI Meets Social Media: A Techy Story
benefits of artificial,
What benefits do social media channels gain from artificial intelligence?
- Facebook acquires deep learning technologies that help in pattern face-recognition algorithms which are used to help the users tag their friends and predicts hashtags to make it easier for the users to input as much.
- Pinterest acquires deep learning technologies which help them level up from a bookmarking network to an e-commerce engine by boosting Pin recommendations to users that in the same way, are relevant to their Pin history.
- Google acquires deep learning to help them in the process of creating new products that have the ability to learn and comprehend images, videos, and text over the Web.
With the development of artificial intelligence (AI) throughout the years, digital marketing, social media marketing, and other related services have taken a piece of the technology to incorporate in their respective fields. There is the natural language processing (NLP) that enables programs to interact with users in the way humans do, natural language generation (NLG) which also imitates how humans convert data to narrative writing, and artificial design intelligence (ADI) which is designed to create great content and design an appealing website through feedbacks from users – all these have succeeded in its aim to make work easier and convenient for people in various industries.
However, among all these services, marketers have taken more attention on the collision of artificial intelligence and social media – given their individual significance and relevance in the digital era. Still, there is a lot to unfold with the entrance of AI into the growing social media marketing landscape, and that is what this article is about to tell you.
Artificial Intelligence in Social Media Networks
Various entities in the social media landscape have embraced the importance of artificial intelligence to boost the business and provide users the best experience to date.
Facebook is the largest and fastest growing social media business in the history and remains unstoppable as of today. With its large user base, definitely, the challenge to enhance the social media site is becoming more and more superficial. Of course, Facebook isn’t backing down; having established an AI lab in their office and having hired the well-known New York University professor, Yann LeCun, in 2013, the journey towards developing the best technologies for Facebook isn’t impossible. The recently publicized researches online, at the very site of Facebook AI Research (FAIR), included neural networks learning to pattern face-recognition algorithms which are used to help the users tag their friends, and predicting hashtags to make it easier for the users to input as much.
Focusing on today, artificial intelligence is very much used in Facebook through deep learning technologies. These technologies sort through the giant social media site’s database, enabling it to adjust its News Feed filters and suggestions, tag the user’s friends when uploading photos via face-recognition, and discover trending topics around the world. Arguably, artificial intelligence, in the form of deep learning technologies, is the best way to make the platform work given the many users who log in every day from around the world.
Pinterest is revving up their marketing strategy to a whole new level. Being the world’s renowned bookmarking network where people mostly look for ideas and creative projects – the network’s channeling its inner e-commerce prowess to serve its users better, and of course, to further develop the social media channel itself. Having acquired partnership with Kosei, a data software company which specializes in personalized recommendation modeling and Visual Graph which on the other hand, specializes in image recognition and search, Pinterest is dedicated to implementing deep learning into their processes. Notably, the network benefits in AI through object recognition which boosts Pin and product recommendations, detecting spam content and users, and boosting ad performance and relevance prediction. Through these technologies, Pinterest is on its way to becoming one of the giant e-commerce engines to date.
Yet with all these technologies, Google remains at the lead in implementing AI into their channel. In 2014, Google has acquired DeepMind, a British AI startup that, as the AI researcher Yoshua Bengio has worded it, “…has the largest concentrations of deep learning experts.” But why, you might ask – why is Google collaborating with deep learning experts? For some time now, Google was aiming for deep learning to help them in the process of creating new products that have the ability to learn and comprehend images, videos, and text over the Web – which meant, further improving the search engine’s capabilities in catering to its users’ needs. Moreover, given Google’s reputation in technology, it’s not impossible to make something over time with all their researchers. One instance of this is the recent program made by Google DeepMind – which beat the human player in one out of 30 Atari games. Thing is, this program is a combination of two forms of machine intelligence, the reinforcement-learning algorithm and the deep neural network, which analyzes, infer, and learns from the patterns of an existing data in order to achieve a particular goal – which in this matter, takes in the form of winning the said games. Surely, Google has its ways in turning futuristic ideas into reality.
Having highlighted specific social media networks’ collision with AIs, it is evident that artificial intelligence can guarantee the future of the industry with progressive researches and studies turning into products. Furthermore, not only does it make a huge impact on the world, but to the brands as well as it helps them grow and strengthen their business along the process. To this regard, please be reminded that this story isn’t going to end anytime soon – as there are a lot more flipping to do before people even reach the ending.