
In today’s data-driven world, organizations are recognizing the need to modernize their data architectures to leverage the power of operational real-time analytics, artificial intelligence (AI), and machine learning (ML) capabilities. Simultaneously, concerns about the impacts of AI have driven organizations to prioritize security and data governance. This article delves into the key trends and considerations for data architecture modernization, including










