| |NOVEMBER 20228CIOReviewIN MY OPINIONThe following is adapted from Deep Tech.Artificial intelligence as a field has existed in one form or another for centuries, but only in the past decade or so has it reached the critical point of going mainstream. No longer confined to science fiction, artificial intelligence (AI) is at work behind Amazon's Alexa, Apple's Siri, Google's search engine, and many other technologies we use every day. These applications of AI, while exciting, are only the beginning. Over the next decade, we can expect AI to transform many industries, including three: agriculture, manufacturing, and the military.By Eric Redmond, Global Director, Technology Innovation, NikeNow that Pandora's Box of AI has been opened, there are very few fields that artificial intelligence won't affect in the near future. We'll never stop finding new ways to add intelligence to dumb processes or inanimate objects. With this transformation comes the chance to invest in and adopt these new technologies, but to seize the opportunity, you'll have to first understand what to expect from the shifting landscape of industries.Industry #1: AgricultureThe first industry worth exploring in relation to the rise of artificial intelligence is agriculture. Historically the largest industry, agriculture has long been in the crosshairs of innovative technologies. From plowshares to cotton gins to factory farming and GMOs, each innovation seems to increase yield and decrease the number of people required to work in this grueling sector. The influence of AI is expected to be no different. One way AI will reduce required labor is through monitoring of soil and crop conditions and targeted deployment of solutions. For example, John Deere announced the acquisition of a company that leverages machine-learning vision systems to automatically spray weed killer directly onto plants, reducing herbicide use by 90 percent. Several other companies, such as ecoRobotix, are creating chemical-free, mechanical weed-pulling robots. Many of these robots are also capable of targeted insecticide deployment, helping stave off many of the unintended consequences of over spraying, such as bee colony collapse. And speaking of bees, there's now a pollinating robot called BrambleBee. Furthermore, nearly 90 percent of crop losses are due to weather-related events, and the task of weather prediction is tailor-made for big data and machine learning.Monitoring all the details of million-hectare farmlands is daunting work for humans yet perfect for machines, which is why you can expect to see a massive intersection between AI and agriculture in the coming decade. Eric RedmondTHREE INDUSTRIES ARTIFICIAL INTELLIGENCE WILL TRANSFORM OVER THE NEXT DECADE
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