000			03541nam a22003375i 4500
999			_c238545 _d238545
001			238545
003			ES-VaUE
005			20240614171713.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230804s2023 xxu| o |||| 0|eng d
020			_a9781484295021
024	7		_a10.1007/978-1-4842-9502-1 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aHD30.28 _b2023 EB
100		1	_aMahendra, Adhiguna _eautor _4http://id.loc.gov/vocabulary/relators/aut _9518807 _tAI Startup Strategy: A Blueprint to Building Successful Artificial Intelligence Products from Inception to EXIT
245	1	0	_aAI Startup Strategy : _bA Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit _cby Adhiguna Mahendra
250			_a1st ed 2023
264		1	_aBerkeley CA _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aChapter 1: Fundamentals of AI Startup -- Chapter 2: AI Startup Landscape -- Chapter 3: Product Market Validation for AI-First SaaS -- Chapter 4: Product Market Validation for AI as a Service (AlaaS) -- Chapter 5: AI Product Strategy -- Chapter 6: Human-Centered AI-Experience Design -- Chapter 7: Human-Centered AI Developer Experience Design -- Chapter 8: Building AI Platform -- Chapter 9: Go-To-Market Strategy for AI Startup -- Chapter 10: AI Startup Exit Strategy.
520			_aGain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users, Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in production As we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it. You will: Match customer's expectation VS technical feasibility Justify business values and ROI for customers Review the best business models for high valuation enterprise AI start-ups Design an AI product that gives a satisfactory experience for the user Register and value AI IP .
988			_aSpringer_Business_2023
650		7	_2embne _9516582 _aInteligencia artificial _vEmpresas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4842-9502-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_b06/2024 _db _ej _zSI