Artificial Intelligence's Rapid Acceptance

Artificial Intelligence’s Rapid Acceptance

Have you ever realized that while scrolling your YouTube, it starts suggesting videos of your interest or are aligned with your watch history? Did you ever realize how subtly your YouTube became so personalized and got curated as per your interests?

AI Based Algorithms is Working to make YouTube Feed Curated

Well, that is an AI-based algorithm that is effortlessly working to make your YouTube feed curated as per your interest and such that you could spend hours ignoring what’s going on all around. Interestingly, YouTube is using Machine Learning algorithms (subfield of AI which is able to learn and adapt without following explicit instruction) for the last 6 years and now it is evident enough that YouTube has become an indispensable part of our daily life. Furthermore, the suggestions made by the ML model start getting better eventually as you use it and that is how the machine learning models functions i.e. by training and testing its models with the user input and optimizing the accuracy. Similar implementation can be observed on digital platforms like Instagram, Meta aka Facebook, Netflix, Google Maps, Spotify and whatnot. In fact, the most revenue generating business for Meta i.e. ads is working on ML Algos.

From a bird’s eye view, Artificial intelligence is not a standalone tech but rather an umbrella with multiple techs under it such as Machine Learning, Deep Learning, Natural Language Processing, Fuzzy Logic, etc. Furthermore, the application of all these individual techs is observed in our daily life. For instance, audio/chat bots that one must have used on a phone app like IRCTC, are built on Natural language processing or Amazon Alexa. Thankful to the Indian start-up ecosystem, wherein tech enthusiasts across the nation are solving various ground problems from, agriculture to healthcare, using AI-based tech methods to solve the problem with the least time and team possible.

Lately, the acceptance of Artificial Intelligence has increased exponentially not just as an explicit model used in capstone projects but also with its various applications in day-to-day life. Knowingly or unknowingly, the adaptation of AI has increased so much that even an infant is familiar with Amazon Alexa/Siri. Therefore, the impact of AI in conjunction with IoT has become ubiquitous in daily life. On an organizational level as well, the use of AI has increased drastically post COVID wherein companies are using it for data and behavioral analytics. Taking forward, the recent developments in AI-based applications have made them even more demanding. Tools like auto image drawing, auto background remover, and AI-based vocal splitter are recent developments that have helped save time with very accurate results.

On the contrary note, the future sentiments of AI are apprehensive as it has a threat to the unskilled and semi-skilled workforce as the 4th Industrial revolution is more AI-Centric and intended towards improvising efficiency. However considering the recent development in the applications, AI and its aligned techs have proven to be a boon than a curse and therefore future regulation from authorities might help in avoiding the adversities that come along with such advancements. Briefly, the consolidated AI-based tech has helped save time, energy, and manpower with its various day-to-day applications, therefore, making it part of the daily lifestyle with even more favorable reception in the future.

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