In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

Data-intensive fields are growing, and future employees in STEM careers need to be able to understand and contribute to complex data projects. This certificate is designed to enhance the training and ...

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

Within the Aerospace Mechanics Research Center in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, the UQ and Data-driven lab is led by Professor Alireza Doostan ...

Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 ...

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 ...

As cities around the world continue to expand and evolve, understanding the dynamics of the housing market becomes increasingly critical for urban planners, ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...