About This Course
The Bonseyes Marketplace is an open and expandable AI platform that will revolutionize AI development by shifting it from a cloud-centric model to an edge device-centric model.
This course will provide you with the insights and content you need to understand, design, and excel during the most important business phase: commercialization.
You will learn how to understand your value proposition, conduct market research and customer interviews, and measure and define key metrics to evaluate your AI solution.
The course will also cover operational matters such as gathering and analyzing data to validate your AI solution in the market, as well as different commercialization channels and strategies for scaling your AI solution.
Overall, this course will help you to assess your AI solution and gain valuable insights across the value chain.
Description
This course will teach you how to commercialize your AI solution, from design to scale. You will learn how to understand your value proposition, conduct market research and customer interviews, measure and define key metrics to evaluate your AI solution, gather and analyze data to validate your AI solution in the market, and learn about different commercialization channels and strategies for scaling your AI solution.
Course Objectives
Upon completion of this course, you will be able to:
- Understand the importance of commercialization in the AI development lifecycle
- Identify and define your value proposition
- Measure and define key metrics to evaluate your AI solution
- Develop a plan to scale your AI solution
Course Layout
The course will be divided into the following modules:
- Module 1: Introduction to AI Commercialization
- Module 2: Understanding Your Value Proposition
- Module 3: Conducting Market Research and Customer Interviews
- Module 4: Measuring and Defining Key Metrics
- Module 5: Validating Your AI Solution in the Market
- Module 6: Assessing Commercialization Channels and Strategies
- Module 7: Scaling Your AI Solution
Course Structure
Each module will consist of a set of presentations and audiovisual materials, as well as interactive elements such as quizzes, and additional suggestions. Students will be able to learn at their own pace and revisit material as needed.
Course Assessment
Students will be assessed on their understanding of the course material through a series of multiple choice questions.
Target Audience
This course is designed for anyone who is interested in learning how to commercialize an AI solution from SMEs perspective. This includes entrepreneurs, product managers, engineers, and anyone else who is involved in the AI development lifecycle.
Conclusion
This course will provide you with the knowledge and skills you need to successfully commercialize your AI solution. You will learn how to understand your value proposition, conduct market research and customer interviews, measure and define key metrics to evaluate your AI solution, gather and analyze data to validate your AI solution in the market, and learn about different commercialization channels and strategies for scaling your AI solution.
Topics
- The Bonseyes Marketplace
- Overview
- How it can be used as a commercialisation tool (similar to the onboarding session given to the business mentors
- Commercialisation for AI (we would work with an expert to develop this section, but it could be something like the following)
- Your value proposition, including market research, and customer interviews
- Competitive analysis
- Competitive Advantage definition
- Setting metrics
- Validating your solution
- Commercialisation channels
- Scaling your solution
Goals
- Understand the transition from a Technology to a Commercial Product.
- Define the market and understand its dynamics.
- Generate the right set of metrics in your commercialization process.
- Evaluate and reiterate the commercialization process in order to scale your business.
Course Staff
Ángel Araujo
Worked in highly demanding roles in investment banking while running had the opportunity to run a hedge fund. Later moved to technology companies and executive positions in well-known startups. All these years of experience have given me a multidisciplinary, diverse, and transversal skill set. My mind always is working to solve potential challenges & particular situations to maximize the output.
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