ai startup strategy: a blueprint to building successful artificial intelligence products from inception to exit

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

Dr. Adhiguna Mahendra is an Artificial Intelligence expert with experience for more than 20 years building, managing, and operationalizing Intelligent Systems for various industries globally in different verticals such as Banking, Fintech, Aviation, Smart cities, Manufacturing, Oil & Gas, Retail, eCommerce, Security, Law Enforcement and Logistics.

His specialization is enhancing company value by building highly complex technology products. He does the end-to-end processes from building business and financial models, designing business process and revenue streams, defining product development plans, architecting systems and technology stack followed by planning to go to market and exit strategies.

He has been working as an engineer, architect, product manager, and C-levels dealing with technology and business aspects of AI products.

He has been chief of Product and AI at Nodeflux, a leading AI company in Indonesia as well as CEO and CTO at Aerosystems Indonesia, the technology arm of the Indonesian flagship carrier, Garuda Indonesia. He holds Bachelor and Master of Computer Science from the Universitas Indonesia, Triple masters in Robotics and Computer Vision from Heriot-Watt University, Universite de Dijon France, and University de Girona Spain under prestigious Erasmus Mundus scholarship, as well as Ph.D. in Computer Science from Universite de Dijon France, graduated with the highest honor.He also studied about Tech Start-ups at the Queensland University of Technology under a short-term Australia Award scholarship.

Adhiguna is also a Lecturer at Swiss German University and Bina Nusantara University Indonesia and Central Queensland University Australia. He is a team member of the Indonesia AI Strategy Roadmap initiated by the ministry of the technology Republic of Indonesia as well as the AI National Competency Standard of Indonesia by the Ministry of the Information Technology Republic of Indonesia.