Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

Every major data platform now ships a USL for enterprise AI, but standards are unsettled and most only work inside their own walls. How should CIOs avoid picking a winner too early?

Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...

Remote sensing foundation models, pretrained on massive remote sensing data, have shown impressive performance in several Earth observation (EO) tasks. These models usually use single-modal temporal ...

Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency. Microsoft Fabric users will soon face more work to set up ...

In 2024, the elephant in the room was how generative artificial intelligence seized the conversation. In 2025, the dialog shifted to agents and the question of whether there’s an AI bubble happening ...

To enhance the automation and spatial accuracy of geological outcrop information extraction, this study proposes a three-dimensional (3D) modeling method oriented toward multi-class semantic boundary ...

The structured data landscape has undergone significant transformation in 2024, driven by the rise of AI-powered search, the growing importance of machine-readable content, and the need to ground ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

The Ministry of Statistics and Programme Implementation (MoSPI) has upgraded its official data portal to be directly readable by AI models, aiming to prevent reliance on non-credible sources. This ...

The data mesh is a hot topic and approach to building a decentralized analytics architecture where Business domains are responsible for their data – giving ownership to the group that's closest to and ...