In this video, Thiago talks about his experience working with software development and machine learning development in life cycles and management teams. He discusses the challenges of AI, such as the downward spiral, explainability, and ethics. Additionally, he talks about the importance of experimentation, sharing, and collaboration in AI development.

The downward spiral is a common problem in AI development. It can happen when a model is trained on biased data, which can lead to the model making biased predictions. Explainability is another challenge of AI. It can be difficult to understand how a model makes decisions, which can make it difficult to debug and improve the model. Ethics is also a challenge of AI. It is important to ensure that AI is used in a responsible and ethical way.

Thiago discusses a number of strategies for overcoming these challenges. He emphasizes the importance of having a diverse team, using unbiased data, and being transparent about how AI models are developed and used. He also stresses the importance of experimentation, sharing, and collaboration.

Speaker Bio:

Thiago is a software engineer and machine learning expert with over 10 years of experience. He is currently the co-founder of a startup that is developing a new AI-powered platform for businesses. Thiago has a passion for helping businesses adopt AI and is a frequent speaker at industry events.