From the course: AI Product Ideation: Principles and Practical Applications

Unlock this course with a free trial

Join today to access over 24,800 courses taught by industry experts.

Overview of AI implementation process

Overview of AI implementation process

From the course: AI Product Ideation: Principles and Practical Applications

Start my 1-month free trial Buy for my team

Overview of AI implementation process

“

- [Presenter] So, how does a business need become an AI project? Let's take a brief look at the machine learning process step-by-step, from the concept, to maintenance and retraining, and how each step affects the next. It all starts with ideation, where you identify a challenge or opportunity and brainstorm potential solutions. Maybe your company wants to improve customer service, predict equipment failures, or create personalized recommendations. This is the time to think big and explore all possibilities. Next, you'll move on to selecting the best ideas. Not every idea will be feasible or impactful, so this step is about narrowing down your options. You'll evaluate each idea based on factors like business value, technical complexity, and available resources. Once you have picked your idea, it's time to dive into user research and feedback. Who will be using your AI solution? What are their pain points, needs and expectations? By talking to end users and stakeholders, you can ensure…

Contents