2023年2月28日

雖然仍然是一個信任差距,超過40%的人說他們已經看到實實在在的利益有明顯轉向製造商和零售商越來越依賴技術,人工智能和機器學習和數據,讓他們決定如何生產和銷售在長期和短期預測。還有許多的創業公司提供這些類型的零售商和製造商的工具,分析這些數據通過使用人工智能,如Stylumia MakerSights,現在一項新調查周二從multicloud解決方案提供商Rackspace技術突顯出,這些技術創新已經成為來說是多麼的重要,並展望未來,這些零售商。公布的數據,完全連鎖商店時代,顯示,71%的零售受訪者說,人工智能和ML目前領導他們的IT /業務戰略。包括62%的人使用技術來預測業務性能和61%的人使用它進行數據分析,而56%的創新使用它作為一個驅動程序,52%的人用它來提高速度和效率,以及在未來降低風險。調查調查了1420名全球IT決策者各行業,包括零售、金融服務、製造業、好客,政府和醫療,在公司和組織有1000至9999名員工,每年收入在5000萬美元和10億美元之間。不過,這些技術為這些組織是相對較新的,近一半,43%表示,他們才開始使用人工智能和毫升在過去的兩年裏,和25%在去年。這可能是為什麼還有一些恐懼時使用人工智能和機器學習:55%的人說他們遇到阻撓或審查的滲透AI /毫升在他們的組織。與此同時,30%的人表示有強烈足夠的製衡來避免AI /毫升的負麵影響,47%的人說他們有稍微足夠製衡到位。組織似乎也將對他們是否相信他們從這種技術得到的結果,35%的人說他們略信任他們,和略少,33%表示,他們強烈信任他們。盡管如此,他們仍然使用他們,和一個好的理由:這些公司已經看到使用這些技術的好處。 That includes 41% of retail respondents who said there have been substantial benefits, and 32% saying they’ve seen modest benefits. Only 23% said it’s too early to tell. Along those benefits were 73% who said faster time to profitability, increased productivity, increased revenue streams, operation cost reduction, and 72% who said it improved customer satisfaction, risk management. Another 69% said it increased innovation, personalized marketing, 66% said the technologies increased understanding of business/customers, 65% said they reduced cost of new product development, and 64% said they enhanced the company's ability to hire/recruit new talent and increased sales. “As AI and machine learning mature and projects mature, we are seeing it expand out across the organization and become more ubiquitous, advancing in its importance, visibility, and usage,” said Jeff DeVerter, chief technology evangelist, Rackspace Technology, said in a statement . “The fact that more respondents began their AI/ML journey within the past year is striking, and points to the fact that these technologies are seen as they key to driving efficiencies in uncertain economic times. At the same time, the research makes clear that many organizations are still struggling to understand or realize the technologies’ full benefits of AI/ML, and many face internal resistance to adoption.”