The panel explored the practical realities of digitalisation, data readiness, and AI adoption, while audience polling showed that organisations are moving at very different speeds. Responses revealed ...

AI can turn data into powerful insights, but only if organizations first ensure their data is clean, consistent, and properly ...

From AI to cloud computing, data centers power today's digital world. Learn about their function and why companies are racing ...

If you’ve ever looked at job posts in tech and felt your brain do a tiny backflip, you’re not alone. Data careers can sound ...

As utilities face rising pressure to modernize grids, improve asset visibility, and integrate operational data, many ...

We still don’t know whether integration delivers value. But it isn’t because integration has failed. It’s because we haven’t been asking (or measuring) the right question. As we approach new federal ...

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems.

The integration of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics, has revolutionized our understanding of complex biological processes. This topic is centered ...

Abstract: Machine learning (ML) training data is often scattered across disparate collections of datasets, called data silos. This fragmentation poses a major challenge for data-intensive ML ...