Gain 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.

What You'll Learn

• 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

  Who This Book is For Startup Founders, Product Managers, Software Architects/Lead Engineers, Executives

  Explains the blueprint and best practices of creating AI products for Business, Government, and Developer markets Increase company valuation by choosing the right investor and team, and conducting an effective go-to-market strategy Study real-life use cases from successful AI companies globally

  Autorentext

  Adhiguna 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. Currently, 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. His 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 offeringcourses 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. Adhiguna 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.

  Klappentext

  Chapter 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.

  Inhalt
  Chapter 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.