Still, the typical data-driven workflow still relies on human judgment to make the final decision based on the generated spreadsheets and analytics, meaning some bias can still creep in.

image: Through the implementation of an innovative data-driven workflow, researchers have doubled the carbon dioxide capturing capacity of engineered biochar derived from biomass waste.

First, it launched the Workflow Data Network, which builds on the existing Workflow Data Fabric by connecting data from more than 100 partners, including AWS, Microsoft, Oracle and Boomi.

Workflow automation, driven by Industry 4.0 principles, is crucial for print manufacturing to enhance efficiency, reduce costs, and navigate challenges.

As the enterprise IT landscape rapidly evolves, Unisys Corporation UIS is making deliberate strides to reposition itself as a key player in AI-driven IT services. The company’s ClearPath Forward 2050 ...

They can take a data-driven approach to produce real-world, actionable insights to improve employee performance and morale. Here’s how leaders can begin the process today. 1.

Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

Simpro's 2025 Trades Outlook Report Reveals How Data Centralization & AI-Driven Workflow Drive Revenue Growth for Electrical, HVAC and Plumbing Business Owners Trade business owners are facing ...

Exploring the impact of data-driven methods on materials science, from predictive modeling in metamaterials to AI-enhanced property predictions. ... Integrating Informatics into the Research Workflow.