Data-driven disease progression models are an emerging set of computational tools that reconstruct disease timelines for long-term chronic diseases, providing unique insights into disease processes ...

Opportunities and challenges in data-driven chemical engineering thermodynamics, statistical mechanics and molecular simulation are discussed, and new possibilities offered by machine learning in ...

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...

Constructing the truly modern data application, capable of driving data-informed decisions across the organization, requires a lot of effort. To dramatically improve productivity, operational ...

It’s a common adage that in today’s digital world, there’s an application, or software, for everything. But what exactly is software? At its most basic level, software is a bridge between the world ...

Applications are expected to be always-on, lightning fast, and endlessly scalable—whether it's powering global ecommerce, enabling real-time analytics, or supporting AI-driven services. The ability to ...

This high-level definition of a data platform is meant to help frame conversations about the category and compare vendors and their place in it. The definition itself is a moving target since the ...

Utility professionals depend on their vehicles to transport them across wide geographical areas so they can conduct repairs, install new equipment, and maintain existing assets. When trying to restore ...