Artificial intelligence (AI)
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Artificial intelligence (AI) is rising in prominence with the proliferation of chatbots, virtual assistants and other conversational tools that companies are using to improve customer service, productivity, and operational efficiency. But AI is also helping to automate and streamline tasks in data-intensive industries traditionally ruled by rigorous science and good old-fashioned human analysis.
Seed retailers, for example, are using AI products to churn through terabytes of precision agricultural data to create the best corn crops, while pest control companies are using AI-based image-recognition technology to identify and treat various types of bugs and vermin. Such markedly different scenarios underscore how AI has evolved from science fiction to practical solutions that can potentially help companies get a leg up on their competition.
AI is any technology that emulates human performance by learning, reaching conclusions, understanding complex content, engaging in natural dialogs with people or replacing people for non-routine tasks, according to Gartner. The researcher defines machine learning (ML), a sub-field of AI, as algorithms leveraging technologies that operate based on existing information and are used in both unsupervised and supervised learning.
Corporate call centers use AI and ML tools to help agents communicate more efficiently, and sometimes more importantly, with customers. Some companies are using AI and ML to ferret out employees who are likely to leave their positions, based on their behavioral patterns, as well as details on their commute distance from work.
But enterprise use cases for AI and ML tools are growing, as Forrester Research projects AI investments will rise 300 percent in 2017 from 2016. IDC believes AI will grow to become $47 billion markets by 2020.
AI boosts genetic yield in corn crops
Beck’s Hybrids, which competes with the much larger Monsanto, DuPont, Land O’ Lakes, Syngenta and other precision agricultural providers, is using a […]
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