10 Learning from successful and failed applications of AI
This chapter covers
- Successful uses of AI
- Problematic uses of AI
- Failed AI applications
- The importance of good data
- Recommendations for using AI
- How to plan an AI project and set an AI project up for success
Every AI project, whether it succeeds or faces challenges, offers valuable lessons. Learning from these experiences empowers us to make informed decisions, guiding our AI projects toward success while avoiding common pitfalls. In this chapter, we explore the lessons learned from both the mistakes and achievements of past projects because it’s crucial to understand the factors that determine AI project outcomes. I will also share valuable advice on building the right team, fostering the appropriate mindset, and developing a promising plan for your AI project.
10.1 AI successes
Artificial intelligence has already proven its worth across a multitude of specific, well-defined applications, demonstrating its potential to revolutionize various sectors. In this discussion, we will explore these AI applications and their significant effect on our lives, while also acknowledging the limitations of current technology and offering insights into the characteristics of next-generation systems.