As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...

Ekyam announced the launch of riOS (Retail Intelligence Operating System) on Google Cloud Marketplace, enabling retailers to seamlessly connect operational systems, standardize data across the ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial intelligence to ...

Global Ecology and Biogeography, Vol. 27, No. 3/4 (March & April 2018), pp. 277-284 (8 pages) Motivation: The availability of user-friendly, high-resolution global environmental datasets is crucial ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. When Miqdad Jaffer, product lead at OpenAI, challenged ...

Training machine learning models for computer vision use cases takes massive amounts of images. Often, those images are mislabeled, broken or duplicated, leading to sub-par model performance. But with ...