Mazda Marvasti Ph.D. explores how emerging AI technologies are reshaping the way organizations work with data, analytics and decision-making. His writing examines the gap between traditional business intelligence tools and the new generation of AI systems that can reason across diverse data sources, documents and rules, highlighting where familiar approaches fall short.

By reading stories under this tag, you’ll gain a clearer view of why simply bolting AI onto legacy dashboards is unlikely to deliver meaningful intelligence, and what it really takes to build AI-native analytics. Marvasti’s work helps readers—both technical and business-focused—understand the architectural, strategic and practical shifts required to move from static reporting to truly intelligent, context-aware systems.