Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

The main market opportunities in the predictive analytics and maintenance sector within supply chains revolve around the ...

Discover how data analytics helps businesses strengthen supply chain resilience by improving visibility, forecasting risks, optimizing inventory, and enabling faster, smarter decisions.

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

In 2026, compare business analytics with business intelligence. Learn about growing AI-driven employment roles, the distinctions between descriptive and predictive focus, and which career path best ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational efficiency including improving length of stay and staffing efficiency.

Initial work includes data integration and measuring results over time, including prevented events, time-to-locate and time-to-restore metrics. Itron and Toumetis expect to use the results to guide a ...

Predictive maintenance (PdM) is a process used to monitor equipment during an operation with the purpose to identify any deterioration. It helps to plan maintenance schedules and reduce operational ...

A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...