The key steps in AI software development typically include the following;

Problem Definition

Data Collection And Preprocessing

Algorithm Selection And Implementation
Model Training, Evaluation, and Deployment

These iterative steps require continuous refinement to achieve the desired AI capabilities.

Deploying AI software in production involves integrating AI models into an application or system and ensuring reliable and efficient operation. This may require optimizing the model’s performance, implementing appropriate APIs, managing computational resources, and monitoring the system’s behaviour to address bias, privacy, and security issues.

AI software has the potential to automate certain tasks traditionally performed by humans. However, the extent to which AI can replace human workers depends on the specific domain and the tasks involved. In many cases, AI is more effective as a tool that enhances human capabilities rather than fully replacing human workers.