McKinsey predicts: AI will create trillions of dollars worth in the coming day.

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 McKinsey predicts: AI will create trillions of dollars worth in the coming day.


[NetEase news April 22nd] the latest research on artificial intelligence at McKinseyGlobalInstitute, the McKinsey Global Research Institute (McKinseyGlobalInstitute), focuses on how AI affects business. The study analyzed 400 use cases - avoiding flight cancellations from airlines to online retailers recommending goods - across 19 industries. In general, McKinsey predicts that artificial intelligence will eventually create an annual economic value of $3 trillion and 500 billion to $5 trillion and 800 billion in these industries - a wide range, without a timetable for this forecast. The report focuses on how AI can add value to the industry that provides existing products and services rather than inventing new businesses - for example, how car companies can make better cars that are already in production, rather than launch new artificial intelligence services like autopilot. In business functions, AI may have the greatest impact on marketing, sales, supply chain management and manufacturing. For example, artificial intelligence can improve personalized recommendation of e-commerce companies, or predict traffic patterns to reduce freight costs. Why is the tourism industry? MichaelChui, a partner at the McKinsey Global Institute and the chief author of the report, says that tourism companies carry out complex marketing, marketing and operation, which, in McKinsey, are all places where AI can create the greatest value. According to McKinsey, other industries that have been greatly affected by AI are: high-tech industries (usually defined as software, networks and Hard Suits Inc), transportation and logistics, and the pharmaceutical industry. AI is expected to have less impact on public and social sectors, oil and natural gas and chemical products. Most companies have not applied artificial intelligence yet. Even in companies with AI awareness, only about 20% of companies use one or more technologies on their core business processes or sizes, McKinsey cited the results of last years research. The key obstacles are: getting a lot of training data, the threat of legislation, and potential data and algorithm bias. (selected from: recode Author: ShirinGhaffary compilation: NetEase intelligent participation: nariiy) Pay attention to NetEase intelligent public address (smartman163), to interpret the big events, new ideas and new applications of large companies in AI field.