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020 _a9783031536229
_9978-3-031-53622-9
024 7 _a10.1007/978-3-031-53622-9
_2doi
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050 4 _aHG4028.V3
072 7 _aKFFH
_2bicssc
072 7 _aBUS017000
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100 1 _aMoro-Visconti, Roberto.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978133
245 1 0 _aArtificial Intelligence Valuation
_h[electronic resource] :
_bThe Impact on Automation, BioTech, ChatBots, FinTech, B2B2C, and Other Industries /
_cby Roberto Moro-Visconti.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Palgrave Macmillan,
_c2024.
300 _aXX, 695 p. 68 illus., 63 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. 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.
520 _aThe 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.
650 0 _aValuation.
_969063
650 0 _aArtificial intelligence.
_958441
650 0 _aFinancial engineering.
_958071
650 1 4 _aInvestment Appraisal.
_969065
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aFinancial Technology and Innovation.
_969289
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031536212
776 0 8 _iPrinted edition:
_z9783031536236
776 0 8 _iPrinted edition:
_z9783031536243
856 4 0 _uhttps://doi.org/10.1007/978-3-031-53622-9
912 _aZDB-2-ECF
912 _aZDB-2-SXEF
999 _c60462
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