The ADB’s Brief No. 361 emphasizes that adopting the SDMX standard can transform fragmented national data systems into ...

Process intelligence drives enterprise AI value by linking data, decisions and action into measurable outcomes for real transformation.

AI inference is rapidly evolving to meet enterprise needs – becoming tiered, distributed, and optimized for RAG, agentic, and ...

Shilpi Yadav is a data science expert who uses data empathy and disciplined design to create robust, scalable frameworks that unify fragmented data for global good.

In today's hypercompetitive business landscape, gut feelings and intuition alone no longer cut it. The modern business era ...

As accounting and finance professionals, we’re trusted with the numbers that represent a business’s financial performance. While numbers are our comfort zone, they’re not always interpreted in the ...

Learn how data management strategies for design for manufacturing initiatives can also promote overall operational excellence ...

BMW leverages AI and process intelligence across its data platforms to optimize production, logistics and customer experience ...

Good” data management practices used to mean “keep only what I need now,” but that mentality is a relic of the era when data ...

AI’s giving old mainframes a second life — turning outdated systems into flexible, future-ready engines for innovation and ...

Gold has always symbolized permanence, wealth, and beauty. What it has never offered is proof of its origin, how it was mined ...

Discover how Google Earth AI integrates diverse datasets to solve complex challenges, from natural disasters to public health interventions.