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    Dear Reader,

    In today’s modern world, change is happening at the speed of light – or more accurately, at the speed of information, which is quickly becoming the most precious commodity available. For better or worse, the artificial intelligence or AI takeover has ensured that machines can process and apply information much faster than humans ever could.

    With giant tech companies like Google, Facebook, and Amazon, investing billions of dollars in machine learning, businesses must adapt and adopt or be left in the dust. It’s inescapable as every sector of the American and global economies inevitably turns to AI just to remain competitive.

    If you’re using any type of electronic device at all, then you’re already experiencing the AI revolution as major chip manufacturers like Intel, AMD, and Nvidia are enhancing their microchips to AI for speed and efficiency. The result is an AI-powered chip arms race, with microprocessors using deep learning to deploy tasks faster than ever.

    Since information is so valuable today, AI is being used to leverage predictive analytics, enabling marketers to forecast what customers will buy next. But it’s not only used in the marketing space: in health care, AI-powered analytics is used to identify the possible progression of a disease, while in the financial industry it’s used to assess borrowers’ credibility.

    In the field of e-commerce, the personalized shopping experience that’s powered by machine learning has become an absolute necessity – in fact, customers demand it nowadays, with personalized display ads having a ten-times-greater click-through rate than non-personalized ads, according to Analytics Insight.

    THE ROBOTS ARE COMING…

    Another major AI trend that’s changing the world is robotic process automation or RPA. Robots have become “intelligent,” meaning that after initial programming, they’re able to learn, predict, and make decisions on their own.

    Giant brands like Walmart and American Express have turning to RPA to streamline operations and reduce costs: when routine tasks are fully automated through RPA, operational costs are slashed anywhere from 50 to 75 percent, enabling employees to work on other tasks that machines can’t do (yet).

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      t’s a huge trend in the making, with RPA software adoption expected to increase to 40 percent by 2020 and with spending to reach $1 billion by the same year. Indeed, in just the past six months we’ve seen RPA investments surge: Softomotive raised $25 million from investors, UiPath raised $225 million, and Automation Anywhere raised $300 million.

      Game-changers are on its way in customer service stemming from the advent of AI chatbots. These virtual assistants are using machine learning to become “smarter” in helping people shop, choosing different services and products based on individual needs, as well as taking orders and tracking their status.

      Amazon is already utilizing AI-enhanced chatbots through Alexa Shopping, and you can expect to see more of these “intelligent” virtual helpers as they learn to provide faster, more accurate, and more personalized information and assistance to users.

      Of course, there is one well-documents downside to the AI revolution: the loss of jobs. However, not every job will be lost to automation and machine learning – and we can help to protect ourselves against the “rise of the machines” by training ourselves to do what these “smart” machines can’t.

      The fact is, even the most powerful and adaptive machines aren’t capable of one thing: unconventional wisdom. Machines can learn new data, sure, but they can’t think outside of the box – it’s the reason why no algorithm has ever outperformed Warren Buffett or Charlie Munger at investing.

      To survive and prosper in the age of the smart machines, you’ve got to think differently and exercise your creativity like a muscle: use it or lose it, as the saying goes. In other words, instead of trying to outperform the machines, do what machines aren’t built to do: if you can’t be more intelligent than artificial intelligence, just be less artificial.

      Amazon is already utilizing AI-enhanced chatbots through Alexa Shopping, and you can expect to see more of these “intelligent” virtual helpers as they learn to provide faster, more accurate, and more personalized information and assistance to users.

      Of course, there is one well-documents downside to the AI revolution: the loss of jobs. However, not every job will be lost to automation and machine learning – and we can help to protect ourselves against the “rise of the machines” by training ourselves to do what these “smart” machines can’t.

      The fact is, even the most powerful and adaptive machines aren’t capable of one thing: unconventional wisdom. Machines can learn new data, sure, but they can’t think outside of the box – it’s the reason why no algorithm has ever outperformed Warren Buffett or Charlie Munger at investing.

      To survive and prosper in the age of the smart machines, you’ve got to think differently and exercise your creativity like a muscle: use it or lose it, as the saying goes. In other words, instead of trying to outperform the machines, do what machines aren’t built to do: if you can’t be more intelligent than artificial intelligence, just be less artificial.

      If you haven’t had the chance yet, check out this powerful interview I conducted with the master of demographic research, Harry Dent that was just released on my podcast…

      Prosperous Regards,

      Kenneth Ameduri
      Chief Editor, CrushTheStreet.com

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