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  • 5 Examples of Machine Learning

    No comments April 24th, 2018 100

    Machine learning is a subset of AI systems that has become an essential tool for many. The phrase is used to describe the process of a programs ability to learn without being explicitly programmed. Essentially, we are talking about programs that write themselves.

    Financial

    Investment firms, traders and hedge funds are using machine learning to create artificial intelligence with the ability to predict when the market will rise and fall. After making predictions these programs then automatically buy and sell based on those predictions. Rapidly implementing strategy faster and more accurately.

    Marketing

    More data than ever before is being collected about peoples personal lives. Between mobile devices and social media we are generating over two and a half quintillion bytes of personal data every day. Marketers are using that data to find and identify buying patterns, media preferences, dislikes, and preferences. The content and placement of advertisements is being customized using machine learning to find the optimal times, place and way in which to introduce their products to new customers.

    Health

    Machine learning is being used in the medical field to identify and treat illness much earlier than before. Early detection systems are trained just like other machine learning systems by training the program with tens of thousands of examples.

    Automotive

    Smart cars, driverless vehicles and data collection systems fitted on our driver operated vehicles are playing a role in collecting huge amounts of data about driving conditions, hazards, patterns and behaviors. As we transition to vehicles which are more connected to each us, each other, and the world around us that data will continue to grow. Wherever there is a lot of data there is an opportunity to use it and despite the already obvious impact machine learning is having on driverless cars we are only scraping the tip of the iceberg.

    Security

    Data security firms are making use of machine learning to analyze and react rapidly to cyber attacks. Being able to identify the signs of an attack and implementing quicker responses could prevent or neutralize many common threats including ransomware and malware.

    Every avenue of technology in our society is growing and evolving. The impact of these technologies is changing all of the time. The near future holds a lot of possibility and machine learning is just one of the technologies that is making a widespread global impact. In the next decade machine learning is expected to be a part of almost every industry. The question isn’t “if” but “how” will your industry use it?

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