In this episode, Ricardo discusses the volatility of AI projects. He explains that AI projects face volatility due to rapid technological advancements, constant changes in API connections, and their experimental nature. Regulatory and ethical considerations evolve daily, creating uncertainty about legal and public perceptions. Talent shortages compound the challenge, with expertise in high demand and high turnover rates. To manage this volatility, Ricardo suggests adopting agile methods, allowing for flexibility and faster iteration; investing in robust data management to handle large amounts of data and ensure quality; and finally, building multidisciplinary teams that can adapt to evolving AI technologies and collaborate across technical and non-technical areas for long-term success. Listen to the podcast to learn more.