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凯捷(Capgemini):能源和公用事业的智能自动化(英文版)(40页).pdf

上传人: Me****y 编号:15888 2020-08-01 40页 2.43MB

1、The next digital wave Intelligent Automation in Energy and Utilities Global Automation Research Series: Energy and Utilities Introduction The global energy and utilities sector is undergoing unprecedented change: The three “Ds” of decarbonization, deregulation and decentralization are having a signi

2、ficant impact. Currently only 10% of UKs electricity comes from coal-fired generators, and in 2019 the National Grid has logged more than 1,000 hours of coal-free electricity.1 The sector is moving from its conservative, regulated past to a new future where innovation is key. Its consumer base, whic

3、h used to be largely passive, has now moved to a world of prosumers who expect a sophisticated, service-based industry. Digitalization will be critical to capitalizing on these shifts. Technologies, such as automation and artificial intelligence (AI), are playing a pivotal role in managing the balan

4、ce between demand and supply, boosting efficiencies in all the entirety of the value chain, innovating the customer experience and transforming business models. Our October 2018 multi-sector, global research study, Reshaping the future: Unlocking automations untapped value, explored the intelligent

5、automation landscape (by intelligent automation, we mean a combination of rule-based technologies such as RPA and added intelligence through advanced analytics and artificial intelligence). Examining specific use cases and the benefits they can deliver, it drew on the views of more than 700 executiv

6、es involved in implementing intelligent automation solutions. Building on what we learned from that cross- sector program, this latest 2019 research takes a specific look at energy and utilities (oil and gas, electricity utilities, water utilities, energy services and electricity and gas utilities).

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本文主要探讨了能源和公用事业行业在数字化转型过程中,智能自动化技术的应用现状和潜力。主要观点如下: 1. 能源和公用事业行业正在经历前所未有的变革,包括脱碳、去监管和去中心化,这些变革对行业产生了重大影响。 2. 行业低估了智能自动化的潜力,如果实现规模化应用,预计可以节省2370亿至8130亿美元。 3. 目前只有15%的组织能够实现多个用例的规模化部署。在核心职能中,只有18%的组织部署了快速胜利用例。 4. 行业在采用AI解决方案方面取得了显著进展,2017年只有28%的组织拥有AI用例,而今天这一数字已达到52%。 5. 行业在实现规模化应用方面仍面临重大挑战,需要转变思维方式,加强治理,进行长期战略规划,并始终关注变革管理。 6. 报告提出了五点建议,以帮助组织实现智能自动化的规模化应用,包括采取务实的方法评估和选择用例,优化流程,关注突破性技术,集中执行、治理和领导,以及提高现有员工的技能。
能源公用事业行业如何低估了智能自动化的潜力? 能源公用事业行业如何实现智能自动化的规模化部署? 能源公用事业行业如何从智能自动化中获得最大收益?
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