Anders Fryxell, chief sales officer at atNorth, examines how the Nordic region has emerged as a global leader in A.I.-ready digital infrastructure, at a moment when hyperscalers and enterprises ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run. When I was tasked with modernizing our enterprise document ...

This project was a milestone in my journey to study the Data Engineer Nanodegree (provided by Udacity) which I am currently enrolled in. A startup called Sparkify wants to analyze the data they've ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

The advent of construction informatization technologies and the success of the BIM (Building Information Modelling) methodology in the infrastructure market have increased the need for collaboration ...

Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

A new artificial intelligence (AI) model called Centaur can predict and simulate human thought and behavior better than any past models, opening the door for cutting-edge research applications. When ...

Abstract: For over four decades, Relational database management systems RDBMS have been the primary model for data storage, retrieval and management. However, due to the continuous information growth ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...