Explore the structured process of developing, testing, deploying, and monitoring an AI system, encompassing identification of needs, design, acceptance testing, and user training.
1
Identify AI needs and use cases
2
Conduct a feasibility analysis
3
Prepare AI specifications
4
Approval: AI Specifications
5
Select AI development tools and platform
6
Design AI system architecture
7
Collect and prepare data for training
8
Approval: Data Preparation
9
Choose and implement AI algorithms
10
Train AI models
11
Test AI models
12
Approval: AI Model Testing
13
Evaluate AI system performance
14
Implement AI system
15
User acceptance testing
16
Approval: User Acceptance Testing
17
Prepare AI system documentation
18
Train end-users on AI system use
19
Deployment of AI system
20
Post-deployment monitoring and troubleshooting
Identify AI needs and use cases
This task is the starting point of the AI development process. It involves identifying the specific needs and use cases for implementing AI technology. Consider the tasks and activities where AI can add value and improve efficiency. Think about the business goals and challenges that AI can help address. By identifying AI needs and use cases, you can lay the foundation for developing a successful AI system.
