Bad data breaks good supply chains. PTC’s Steven Humphrey shows how manufacturers can turn accurate, connected data into a ...

When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and improve model reliability.

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Supply chain leaders increasingly rely on data science to navigate disruptions, optimize operations and drive decisions. Yet data, like crude oil, holds no value unless refined into usable insights.

The new Cadence platform is a critical big data analytics infrastructure that unifies massive data sets across all Cadence computational software Enables a new generation of Cadence AI-driven design ...

Molex has released the results of a survey exploring top trends, technology innovations and evolving career skills impacting ...

There is near universal consensus that the data center market is growing rapidly. In the next five years alone, twice as much data will be generated as created in the past decade, according to ...

Digital patient profiles and expansive real-world data are reshaping oncology clinical trials, explained Gen Li, PhD, MBA, president and founder of Phesi. Innovative digital patient profiles and ...