{"product_id":"ai-startup-strategy-a-blueprint-to-building-successful-artificial-intelligence-products-from-inception-to-exit-paperback","title":"AI Startup Strategy: A Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAdhiguna Mahendra\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eGain 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. \u003cbr\u003eThis 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\u0026amp;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, \u003cbr\u003eBuilding 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\u003cbr\u003eAs 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 \u003ci\u003eAI Startup Strategy\u003c\/i\u003e is the one-stop guide for it. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eMatch customer's expectation VS technical feasibility\u003c\/li\u003e\n\u003cli\u003eJustify business values and ROI for customers\u003c\/li\u003e\n\u003cli\u003eReview the best business models for high valuation enterprise AI start-ups\u003c\/li\u003e\n\u003cli\u003eDesign an AI product that gives a satisfactory experience for the user\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRegister and value AI IP \u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book is For \u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eStartup Founders, Product Managers, Software Architects\/Lead Engineers, Executives\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eGain 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. \u003cbr\u003eThis 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\u0026amp;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, \u003cbr\u003eBuilding 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\u003cbr\u003eAs 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 \u003ci\u003eAI Startup Strategy\u003c\/i\u003e is the one-stop guide for it. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eYou will: \u003cul\u003e\n\u003cli\u003eMatch customer's expectation VS technical feasibility\u003c\/li\u003e\n\u003cli\u003eJustify business values and ROI for customers\u003c\/li\u003e\n\u003cli\u003eReview the best business models for high valuation enterprise AI start-ups\u003c\/li\u003e\n\u003cli\u003eDesign an AI product that gives a satisfactory experience for the user\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRegister and value AI IP \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAdhiguna Mahendra, with his extensive academic and industry experience, brings a wealth of knowledge to this book. He obtained his M.S. degree in Computer Vision and Robotics from the University of Heriot-Watt, U.K. 2008, and his Ph.D. in Machine Learning and Computer Vision from the Universite de Dijon, France, in 2012.\u003c\/p\u003e \u003cp\u003eCurrently, he serves as Chief of AI, Business, and Products at Nodeflux, Indonesia's leading AI Vision company. At Nodeflux, he has spearheaded the development and commercialization of AI products, overseeing everything from product design and algorithm development to operationalization through MLOps.\u003c\/p\u003e \u003cp\u003eHis 20+ years of experience span across global and national companies, developing intelligent systems across various sectors. Alongside, he serves as a lecturer at Swiss German University and Central Queensland University, honored with the Best Lecturer Award in 2018. Adhiguna is also the founder of the AI Business Institute, an online platform offering courses in Deep Learning and AI Product Management. Adhiguna is also a key contributor to AI policy-making in Indonesia and serves as an AI trainer and technology advisor. \u003c\/p\u003e \u003cp\u003eAdhiguna has a robust academic footprint with publications in esteemed platforms like SPIE, ICME, ICODSE, and IEEE. He also balances his work with his love for Muay Thai, jazz piano, and soccer, which he enjoys with his three boys. In this book, he shares valuable insights on building AI startups, drawing from his extensive experience and knowledge.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 428\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 05, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52485311594803,"sku":"9781484295014","price":66.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/7RSloAMLXM9781484295014.webp?v=1759802105","url":"https:\/\/www.vysn.com\/en-ca\/products\/ai-startup-strategy-a-blueprint-to-building-successful-artificial-intelligence-products-from-inception-to-exit-paperback","provider":"VYSN","version":"1.0","type":"link"}