In the context of LLM-powered applications, observability extends far beyond uptime or system health; it is about gaining ...

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 ...

Oracle Corp. is imbuing its Fusion applications with agentic artificial intelligence in a move aimed at shifting operational ...

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 ...

New offerings combine AI reasoning with Anaplan’s platform, leveraging deep domain expertise, machine learning, and dynamic calculations to enable confident decisions at scale ...

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 ...

Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

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 ...

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 ...