Navigating Data Evolution in Logistics and AI

This chapter explores the transformative journey of data management in the transport and logistics industry, emphasizing the crucial role of unstructured data and the impact of AI advancements. It discusses the challenges faced by organizations, such as employee turnover and data quality issues, while highlighting the importance of collaboration and modernization in data practices. The narrative delves into emerging trends in data architectures, focusing on the integration of AI-driven solutions and observability systems to enhance predictive capabilities and data reliability.