Maximizing The Value Of Data Science And Machine Learning Models Many organizations struggle to operationalize advanced analytics and data science models to meet the goals of the business.

COVID-19 is accelerating IT cloud investments to deliver the innovations required to cope with the pandemic and other market disruptions. Process manufacturing encompasses critical industries ...

Peter Dunn is a seasoned technology and cybersecurity leader with over 25 years of experience driving digital transformation, AI integration and zero-trust initiatives across federal agencies and ...

Process manufacturing operations may be oversimplified as entailing raw materials, a production process, and finished goods. The same model can be applied to using production data to improve process ...

If, like the Army’s XVIII Airborne Corps, you plan to use AI when dropping 1,000-pound bombs, you should be sure you are using it correctly. This is why the Department of Defense has been working to ...

What began primarily as a strategy to reduce operational costs has transformed into a sophisticated ecosystem powered by automation, artificial intelligence, and advanced analytics. Today’s ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Data make up a crucial element in Bioprocessing 4.0. Biomanufacturers must efficiently collect, manage, and analyze this information. Compatibility between devices, data sources, and software packages ...