000			03475nam a22003615i 4500
008			230804s2023 xxu| s |||| 0|eng d
020			_a9781484295021 _9978-1-4842-9502-1
041			_aeng
082	0	4	_a6,584,012 _223
082	0	4	_a6,584,092 _223
100	1		_aMahendra, Adhiguna. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _91518590
245	1	0	_aAI Startup Strategy _h[electronic resource] : _bA Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit / _cby Adhiguna Mahendra.
250			_a1st ed. 2023.
260		1	_aBerkeley, CA : _bApress : _bImprint: Apress, _c2023.
300			_aXIV, 428 p. 114 illus., 112 illus. in color. _bonline resource.
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. Henceit 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 .
650		0	_aStrategic planning.
650		0	_aLeadership.
650		0	_aNew business enterprises.
650		0	_aVenture capital.
650		0	_aSmall business.
650		0	_aEntrepreneurship.
650		0	_aInformation technology _xManagement.
650	1	4	_aBusiness Strategy and Leadership. _91464485
650	2	4	_aStart-Ups and Venture Capital. _91468266
650	2	4	_aSmall Business.
650	2	4	_aEntrepreneurship.
650	2	4	_aBusiness Process Management. _91464872
856	4	0	_uhttps://doi.org/10.1007/978-1-4842-9502-1 _3Click Here
887			_aAkhil Chandra Saren
942			_cEBK
999			_c1608840 _d1608836