AI Projects are not exactly a bed of roses
Artificial Intelligence (AI) projects face a range of challenges that can hinder their success. Common issues include the lack of sufficient and high-quality data, unrealistic expectations from stakeholders, and the absence of structured methodologies tailored for AI initiatives. Additionally, a shortage of skilled professionals and a lack of alignment between business goals and technical efforts further complicate these projects. This presentation explores these challenges in depth, shedding light on how they impact project outcomes and offering practical strategies to address them. By understanding these pitfalls, organizations can better prepare for the complexities of implementing AI successfully