03992nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172050001400186072001700200072002300217072001600240100009200256245017500348250001800523264007900541300006400620336002600684337002600710338003600736347002400772505069300796520155201489650002203041650003603063650003403099650003303133650003603166650004803202710003403250773002603284776003603310776003603346776003603382856004603418912001403464912001503478999001703493978-3-031-53622-9DE-He21320251030112254.0cr nn 008mamaa240602s2024    sz |    s    |||| 0|eng d  a97830315362299978-3-031-53622-97 a10.1007/978-3-031-53622-92doi 4aHF5681.V3 4aHG4028.V3 7aKFFH2bicssc 7aBUS0170002bisacsh 7aKFFH2thema1 aMoro-Visconti, Roberto.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97813310aArtificial Intelligence Valuationh[electronic resource] :bThe Impact on Automation, BioTech, ChatBots, FinTech, B2B2C, and Other Industries /cby Roberto Moro-Visconti.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Palgrave Macmillan,c2024.  aXX, 695 p. 68 illus., 63 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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. 0aValuation.969063 0aArtificial intelligence.958441 0aFinancial engineering.95807114aInvestment Appraisal.96906524aArtificial Intelligence.95844124aFinancial Technology and Innovation.9692892 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303153621208iPrinted edition:z978303153623608iPrinted edition:z978303153624340uhttps://doi.org/10.1007/978-3-031-53622-9  aZDB-2-ECF  aZDB-2-SXEF  c60462d60462