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How the largest corporations in the world leverage AI?

It took decades of research to establish machine learning as a legitimate field of science and decades yet to put it into the market. And now that it has finally arrived, thanks to advancement of computational technology and the advent of big data, the business world is making the most of it. The likes of Amazon and Google could not have even imagined what they have achieved in the course of the last couple of decades had it not been for machine learning and there after artificial intelligence. These along with Microsoft, IBM, and Apple are some of the loudest names in the history and future of technology, well, as far as the general public and the market is concerned. Let us peep into their houses to find out how they have added AI to the equation over the years.

Let us start with good old Microsoft

Microsoft has completed 45 years in the technology space and it has kept a firm grip on its status as one of the industry leaders. No wonder Microsoft has entered the race for advancement in artificial intelligence. One of Microsoft’s recent AI initiatives is AI for health, a $40 million project that aims to bring the benefits of AI in healthcare to the less fortunate of the world. However, like its peers Microsoft too has been making serious use of AI, more precisely machine learning to drive business.

There are hackers trying to intrude into the networks of the tech giants all the time. They need to prevent all sorts of programmes from hacking into their systems but employing people for that would not scale. Hence there are machine learning algorithms to detect any irregularity and prevent the attacks. These algorithms make it possible to keep running the business seamlessly while keeping the company light.

Another important instance of machine learning integration is the development of Bing search engine. At the time of its launch in 2009 bing was a distant third accounting for only 9% of the searches. Then machine learning stepped into the game. A very powerful model was built based on the search queries along with what people click on. This helped bing double its search volume to 20% within 2015.

Apple stepping it further up with AI

Apple has always been a marvel in the marketing sphere. While the whole world is throwing AI and machine learning at the consumers to sell their products, Apple barely mentions them. They just quietly put AI driven features in the products. There are, however, things that they do mention and we should take a look at them.

As part of the Home-kit, smart cameras use the photos on your phone which have tags to recognize people at your door-step and it even announces their names if you want it to.

The apple watch can recognize your physical movements and detect when and for how long you are sleeping.

Machine learning built into the phone can translate foreign languages in real time after detecting what language is being spoken, and that too offline.

The iOS 14 has sound alerts which means your phone can recognize door bells, dog barks, crying, among other things.

These features definitely keep Apple ahead of its peers, more importantly they show the company’s interest in making the most of the technological advancements.

IBM takes takes some leaps

IBM has left no stone unturned in terms of marketing their AI systems. I would say, if I may, that IBM has used AI to sell AI to other businesses. Be it making sense of corporate data or predicting mechanical failures, IBM has shown ways to other businesses. It can use machine learning to predict which employees are going to quit a certain job with 95% accuracy. IBM’s deep learning wing Watson has turned some heads over the years too.

Behind Amazon’s efficiency

Amazon uses product carrying pods in its warehouses and among its 175 fulfillment centers across the USA, robots work hand in hand with humans to control these pods in 26. In a decade’s time we may expect to see fully automated warehouses. Amazon uses machine learning to determine which product to stock, where to put it, and even the best route to take it from point A to point B. Thus machine learning makes it possible for Amazon to be so efficient as it is. Artificial Intelligence and machine learning are no longer just disruptives ideas with a handful of takers. These are technologies that define the fourth industrial revolution. Thousands of companies have followed in the footsteps of these tech giants and they need people. They need you to gain relevant skills. Find a machine learning course in Bangalore, and join the bandwagon.

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