人工智能的投资回报率:有效性和测量

Sandeep Pandey, Snigdha Gupta, S. Chhajed
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引用次数: 2

摘要

了解人工智能投资的价值以及决定价值的因素是明智决策的先决条件-在选择投资该领域和领域时。在人工智能等先进转型领域的投资,在收购中决定适当的支付或接收价格,以及在经营企业时做出财务选择,都要进行彻底的评估。计算这类投资的投资回报率的前提是我们可以对价值做出合理的估计,并且相同的基本原则决定了所有类型资产的价值,无论是有形的还是无形的。与其他投资相比,有些投资更容易估值。新的和高度发展的技术(如人工智能)的评估过程和有效性测量技术因投资而异。此外,与价值评估相关的不确定性对于不同的投资和资产是不同的,但核心原则和估值的基础几乎是相同的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROI of AI: Effectiveness and Measurement
Knowing what an AI investment is worth and what determines that value is a pre-requisite for intelligent decision making- in choosing to invest in this field and domain. Investments in advanced transformation like AI, in deciding on the appropriate price to pay or receive in a takeover and in making financial choices when running a business are to be evaluated thoroughly. The premise of computing ROI for such investments, is that we can make reasonable estimates of value, and that the same fundamental principles determine the values of all types of assets, real tangible as well as intangibles. Some investments are easier to valuate as compared to others. Valuation process and effectiveness measurement techniques of new and highly evolving technologies such as AI vary from investment to investment. Also, the uncertainty associated with value estimates is different for different investments and assets, but the core principles and the foundation of valuations remain almost same.
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