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In the digital world, we use the term 'futuristic organization' to represent companies that are making maximum use of technology. The dominance of artificial intelligence in the commercial space has brought up hope even to falling economies. Fortunately, organizations are adopting disruptive trends like machine learning and its applications to automate decision-making. Machine learning applications are enabling companies to expand their growth and optimize the process. They also help employees engage in intellectual task and increase customer satisfaction. Top companies using artificial intelligence go beyond the tech sector into other industries like Banking and Finance, Healthcare, Telecommunication, Education, Manufacturing, etc. Corporate investment in artificial intelligence has tripled since 2017 and is expected to reach US$100 million by 2025. Experts also opine that companies using machine learning are the biggest disruption that has ever happened in workplace history. By embracing machine learning, organizations get to personalize the customer experience, streamline IT operations, prevent fraud, enhance loyalty, reduce churn, and improve the hiring process. Analytics Insight has listed top companies using machine learning in a profitable way.
Just like the American tech giants, Baidu is a Chinese tech conglomerate that constantly engages in powerful mergers and acquisitions. The company is currently focused on developing a natural language processing-based voice-activated search function. Baidu is availing machine learning technology to power its a way of teaching voice search applications. The company has recently acquired Kitt.ai, a machine learning solution provider, working on chatbots and voice-based applications. Although Baidu initially used Google's voice search and voice dictation for its voice-based products, it soon realized that people wanted a compatible solution. Human users look for voice systems that imitate human speech and give them companionship. Therefore, they are using machine learning to teach voice applications on how to speak like a human.
When we talk about Apple, we need to keep in mind that the company uses machine learning applications in almost every aspect of its devices. Everything starting from language translation to on-device dictation and interactions is powered by machine learning. Besides, Apple uses the technology to track down users' health like the number of hours they sleep, the number of steps they walk every day, heartbeat rate, etc. Apple's app predictions, keyboard predictions, and smartphone cameras also engage in a number of machine learning tasks behind the scene every moment. For example, modern phones are able to sort the difference between you and your friends based on the pictures in the gallery.
Intel, one of the largest chip makers in the world, is working along the path with machine learning to unravel next-generation chips. The company is aiming to come up with chips that are capable of running AI and machine learning apps. As Intel doesn't want to leave out its opportunity in bringing a breakthrough, it is actively acquiring companies that could support its motive. Recently, Intel has bought Nervana Systems for US$400 million. Nervana builds chips for data center services and supports disruptive initiatives. It is anticipated to power Intel in its fast chip manufacturing. Machine learning will give a competitive edge to the company that is fighting the war against Google and Nvidia's recent chip initiatives.
Pinterest is one of the few companies that can absolutely sort what its users want. Yes! Ever used Pinterest and wondered how it is providing relatable content every time? It is because of the machine learning technology it uses. Pinterest curates existing content and processes it to unravel relative stuff. Pinterest wouldn't be able to give this extraordinary personalized feature without the help of Kosei. In 2015, the company acquired Kosei, a machine learning company that specializes in commercial applications of machine learning tech like content discovery and recommendation algorithms.
The biggest twist that IBM brought in place with machine learning is moving its old business models to newer revenue streams. Being one of the oldest and top technology companies, IBM has done remarkably well since its inception. But as technologies evolve and the company was put in a hectic situation to adapt to the emerging trend, IBM embraced machine learning to hop on the swing. Remarkably, its well-known product 'Watson' represents its stronghold on machine learning. Watson is used across many industries, especially in healthcare and retail. In the healthcare sector, Watson provides highly accurate recommendations in the treatment of certain types of cancers. On the other hand, it helps companies sort out their customers' needs in the retail industry.
