Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

Any system analysis would encompass and expose one to the constituent entities, workflows and use cases around the various system actors. One important constituent is time: What happens when, and how ...

On Demand Data collection in environmental and geotechnical drilling investigations carries some of the highest costs through design and construction phases for projects in civil infrastructure, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The joint modelling framework integrates longitudinal data—comprising repeated measurements from individual subjects—with time-to-event data, which captures the time until a particular event of ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

Meshy, a startup in the AI design space, released Meshy-4 today, its latest AI-powered 3D modeling tool. The new version offers improved mesh geometry and a redesigned workflow, aiming to change how ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...