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nonproductive    音标拼音: [n,ɑnprəd'ʌktɪv]
a. 非生产性的,对生产无直接关系的

非生产性的,对生产无直接关系的

non-productive
非生产性

nonproductive
adj 1: not directly productive; "nonproductive labor"

nonproductive \nonproductive\ adj.
not directly productive; as, nonproductive labor.
[WordNet 1.5]


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英文字典中文字典相关资料:


  • Insurance 2030—The impact of AI on the future of insurance
    Insurance executives must understand the factors that will contribute to this change and how AI will reshape claims, distribution, and underwriting and pricing
  • Accelerating Automation for Insurance - Accenture
    One of the purposes of this document is to provide a synthetic description of the opportu-nities offered by the IA technologies that have now reached an adequate maturity which allow them to be implemented, scaled up and combined to build ecosystems
  • Generative AI in insurance - EY
    Traditional carriers are ramping up GenAI experimentation through both targeted partnerships and the development of in-house capabilities Respondents included global property and casualty (P C) carriers, life and annuity (L A) carriers, group benefits providers, brokers or agents, and InsurTechs
  • How Automation and AI Are Transforming Insurance - Appian
    For example, by 2030, AI-powered automation could boost productivity in insurance processes and reduce operational expenses by as much as 40% [1]
  • Automation in insurance: use cases, benefits and more - boost. ai
    Insurance automation represents a specialized application of intelligent automation designed to address the unique requirements of the insurance sector
  • What is AI in Insurance - IBM
    AI in insurance is the use of artificial intelligence, automation and other advanced technologies to improve coverage and service delivery in the insurance industry Like other financial service industries, the insurance sector requires a large amount of data
  • AI in Insurance: Use Cases and Real-Life Examples - Inoxoft
    Recent findings indicate a notable shift in the industry, with 77% of insurance leaders now integrating AI into their operations, up from 61% in 2023 This dynamic suggests that AI is no longer just a trend but a necessary evolution in the insurance landscape
  • AI in insurance: A catalyst for change - KPMG
    Artificial intelligence (AI) isn’t new in insurance — existing use cases are seen across risk modeling, data forecasting, claims handling and contact center operations, with an abundance of potential opportunities in the pipeline
  • Automation In Insurance: Use Cases, Benefits, and Strategies - Kanerika
    By integrating automation technologies, insurers can streamline underwriting, claims processing, customer service, and even fraud detection, all while reducing costs and improving accuracy Recent reports indicate that 60% of insurance companies are expected to adopt automation technologies by 2025 to enhance their operational capabilities
  • Artificial intelligence in the insurance industry - KPMG
    We have outlined ten core principles13 that will enable insurance firms to fulfil current requirements on AI and prepare for the likely regulatory developments in the near future These cover areas including framework, controls, processes and tools for designing, as well as building and deploying AI safely 1 Fairness 4 Security 7





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