5 Examples of Successful Use-Cases of Artificial Intelligence And Machine Learning

 

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Artificial Intelligence (AI) is described as analyzing human intelligence and perceptions by a machine especially a computer system. This process includes reasoning, learning and self-correction. 

Machine Learning (ML) is an application of Artificial Intelligence which provides the machine the ability to learn from experiences without human intervention.

The Artificial Intelligence has a magnificent effect to the world. We are using this technology in our daily lives and unknowingly this is playing an active role in our lives.

Let's discuss 5 such successful use-cases of AI and ML-

1. Smart assistants: 

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Voice-to-text conversion is one of the commendable use-cases of AI and ML. From simpler phone assistants such as Siri and Google Assistant to most complex OK Google from Google and Alexa from Amazon which accepts commands as voice inputs to provide to-do lists, to order pizzas, answer questions via internet searches, setting reminders, playing music of user's choice, story telling etc. are few examples of how AI and ML algorithms can be used to make human life easier.

2. E-Commerce : 

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In e-commerce websites, when the user searches for any product, he is displayed with similar product lists which is most relevant to the search. How is this achieved? Here's where Machine Learning arrives. The search pattern is noted down by an ML algorithm and whenever the user logs in the next time, the home page displays similar products which he searched previously. Also, the product recommendations such as "Those who bought this product also viewed...." are displayed in the home page through an artificial neural network algorithm. ML is also used while making transaction through online payment gateways. Apps such as Amazon and Flipkart use AI and ML to track the order till delivery. 

3. Social Networking : 

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In social websites, currently there is wide use of 'Avatars' which mimic the human face and generate cartoon like faces. ML algorithm to mimic the structure of human face is used here which powers facial-recognition software. Personalization of news feeds such as in Facebook, AI based replies in the chat boxes such as LinkedIn, facial filter apps which tracks facial movements such as Snapchat app are some of the useful examples where integrating AI and ML became a huge success factor.

4. Banking and Finance : 

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Nowadays, majority of the banks want their customers to pay cheque slips and make other deposits to accounts digitally via their online banking apps in order to eliminate physical transactions and deposits by the customers to the bank. How these transactions happen through apps? This happens because majority of the banks rely on AI and ML algorithms to verify signatures and decipher it into text via OCR (Optical Character Recognition) technology. AI and ML is also used to prevent fraudulent transactions by creating neural network systems that determine recent frequency of transactions, transaction size, and the kind of retailer involved.

5. Ride apps : 

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How do the ride sharing apps such as Uber, Ola, etc. food delivery apps such as Swiggy, Zomato, etc. track the time between the source to destination? How Google maps show the directions to a destination? How do such apps estimate the exact time to reach the destinations? These questions are answered by AI and ML technology. ML algorithms are used to track optimal pick up and drop locations as well as the user can view the pathway and can report to the driver if the destination path is missed. This also helps to prevent fraudulent activities.

There are many other use cases apart from the ones mentioned above. AI and ML has great advancements in the field of data analytics and BI tools such as Power BI, Google Search Engine which displays possible searches when user enters a keyword.

This technology is also used in most of the navigation systems to track traffic movements and also used in automobile industries to prevent fatal accidents. Another use-case includes smartphones which use face-recognition algorithm to unlock the mobile device as well as while clicking photos through camera setup in the phone. AI and ML is also used in medical systems and healthcare industries.

Please feel free to comment in the comment section below if you have any suggestions and any idea of using AI and ML technology in the future use-cases. Please give a thumbs up if you liked the article.