... 4,5,6 McKinsey AI Report, 2017 ; Based on HPE Nimble Storage’s installed base . Figure 4: Few functions have implemented AI at scale Scaled implementation is highest in Digital/Mobility Services, followed by Information Technology and Manufacturing. The McKinsey State of AI in 2020 global survey was conducted online from June 9 to June 19 and garnered nearly 2,400 responses, with 48% reporting that their companies use some form of AI… Initial use cases have been found for AI-supported systems that enhance care – for instance, in the development of customized offers for patients suffering from chronic diseases or for identifying clinical pathways that fail to adhere to guidelines. AI in transportation and logistics allows saving time and money due to the automation of time-consuming processes. McKinsey uses their AI Readiness Index to provide insight into how countries perform in relation to each other. No wonder giant tech companies like Google, Amazon, Intel invest their resources into AI. The ability for sensors to monitor machines and pass this data along to algorithms that determine if there's a problem can decrease downtime of equipment and thus increase output for any … Initial use cases have been found for AI-supported systems that enhance care—for instance, in the development of customized offers for patients suffering from chronic diseases or for identifying clinical pathways that fail to adhere to guidelines. Much of the claims journey in traditional insurance companies requires hours of manual effort by employees. “The use cases that most commonly led to cost decreases are optimisation of talent management, contact-centre automation, and warehouse automation. This potential for AI regarding social good and the SDGs is illustrated by this said study by the MGI, which by November 2018 had identified as many as 135 cases of AI use worldwide that support the SDGs. The attention currently devoted to developing algorithms should be balanced with at least as much energy and resources to make sure these tools are widely available and used on the front line of disaster relief. Learn from the best. Another example is the use of AI in the manufacturing industry to increase efficiency. Over half of respondents who report adopting each of those say the use of AI in those areas reduced costs.” IF THEN bottom line. McKinsey estimates AI techniques have the potential to create between $3.5T and $5.8T in value annually across nine business functions in 19 industries. McKinsey is the gold-standard for presentations. Because of its generic nature, AI will have an impact on all business sectors, our private lives and society as a whole. By Katherine Heires . But what about government? Whether concrete, partial or simply potential, these cases demonstrate real opportunities for AI … HPE offers pre-integrated, tested reference AI use case solutions to pilot and evolve your AI initiatives rapidly. Organizations are turning to algorithms to improve fleet management, warehouse administration, logistics processes, freight brokering and numerous other tasks. We at McKinsey Global Institute have collected about 160 cases of AI’s actual or potential uses for noncommercial benefit of society, and can see considerable potential for computer vision, natural language processing, even deep learning applied to traditional databases, as well as other AI capabilities, to make a very sizeable difference. Product Support. McKinsey’s Global AI survey has found that the use of artificial intelligence (AI) in automating business processes has increased by 25% year on year, yet a number of sectors are struggling. McKinsey AI Report, 2017 . FOLLOW HPE. 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