<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Artificial Intelligence Valuation</title>
    <subTitle>The Impact on Automation, BioTech, ChatBots, FinTech, B2B2C, and Other Industries</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Moro-Visconti, Roberto.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">aut</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/aut</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>XX, 695 p. 68 illus., 63 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>The book discusses the main valuation methodologies of artificial intelligence (AI). Company valuation goes hand in hand with estimating intangible assets like AI, which are linked to higher risk and lower collateral value. Their accounting is controversial, and the most widely used valuation approaches are based on market, income, or cost-related metrics.The volume discusses in detail the valuation approaches such as the discounted cash flows (remembering that “cash is king”) or the empirical market multipliers and comparables. The approaches are complemented by several models, including advanced business planning that incorporates machine learning, digital scalability networks, or validating blockchains. The book, with a tailor-made theoretical background backed by empirical cases, shows how to evaluate AI products, such as chatbots or virtual assistants, for AI established producers, startups, or traditional “brick-and-mortar” AI users. The comprehensive set of techniques and methodologies will interest researchers, students, and practitioners in corporate finance, intellectual property valuation, and financial technology. Roberto Moro-Visconti is a professor of Corporate Finance at the Catholic University of the Sacred Heart, Milan, Italy. He is the director of studio Moro-Visconti, chartered accountants, and financial consultants. Dr. Moro-Visconti manages a consolidated financial boutique that derives from a deep-routed tradition of professional consultants and specializes in Intellectual Property Appraisal.</abstract>
  <tableOfContents>1. Introduction -- 2. The valuation of intangible assets: an introduction -- 3. Artificial Intelligence-driven Digital Scalability and Growth Options -- 4. The valuation of Artificial Intelligence-driven know-how and patents -- 5. The valuation of Artificial Intelligence-driven startups -- 6. The valuation of software as a prerequisite for Artificial Intelligence -- 7. The Valuation of Artificial Intelligence -- 8. Chatbots and generative artificial intelligence -- 9. Sustainable Artificial Intelligence Issues: from ESG Valuation to Ethical Concerns -- 10. Artificial Intelligence-driven Industry Applications -- 11. Artificial Intelligence Valuation: Empirical Cases and Templates.</tableOfContents>
  <note type="statement of responsibility">by Roberto Moro-Visconti.</note>
  <subject authority="lcsh">
    <topic>Valuation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Financial engineering</topic>
  </subject>
  <subject>
    <topic>Investment Appraisal</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject>
    <topic>Financial Technology and Innovation</topic>
  </subject>
  <classification authority="lcc">HF5681.V3</classification>
  <classification authority="lcc">HG4028.V3</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <identifier type="isbn">9783031536229</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-53622-9</identifier>
  <location>
    <url>https://doi.org/10.1007/978-3-031-53622-9</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">240602</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030112254.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-3-031-53622-9</recordIdentifier>
  </recordInfo>
</mods>
