Leveraging process analytical technology (PAT) advancements helps companies derive value by combining data from process and analytical instruments with advanced analytics
The large gap between data and insight in process manufacturing will only start closing when data analytics vendors start putting the process engineer first.
Combining human reasoning with the machine learning functionality found in advanced analytics applications improves pharma processes.
It is time to move beyond the language and promises of IIoT to solutions that improve asset availability and production outcomes.
Data analytics programs optimize water injection completions, and produce huge savings at two oil and gas extraction applications.
Advanced analytics are accelerating—by an order of magnitude—the time to decisions and actions.
Centralized data architectures are adapting to new opportunities for data collection and analytics.
A key aspect of any digitization effort is providing easy access to data by engineers and other experts so they can perform advanced analytics to improve outcomes.
Upstream oil & gas operations improved using data analytics. Reducing the break-even price of U.S. shale oil production requires the intelligent application of what Goldman Sachs refers to as…
Calculating sewer blockages 13 hours before they happen. Often the first notification of a spill comes from a member of the public, hours and sometimes days after the actual incident. Such late…