How advanced analytics is being used to drive desired business outcomes in pharma.
In the second part of this two-part article, Lisa J. Graham, Seeq Corp., provides use cases of machine learning in action in the oil and gas industry.
Machine learning (ML) is a powerful tool, but it requires extensive domain expertise for successful deployment, as Lisa J. Graham, Seeq Corp., explains in the first part of a two-part article.
The questions you ask to uncover your problems should inform your reliance on the cloud.
Advanced analytics and modeling can be used to predict downstream failures, allowing for corrective action before batches are lost.
To create a dataset separate from its context is to create a disconnected perspective representing a static view of a constantly changing process. A smarter approach is ensuring the freedom to…
The aluminium industry continues to make significant strides throughout its supply chain to incorporate emerging digital technologies – including those under the Industry 4.0 and Industrial…
Refineries must mitigate risk, anticipate maintenance, optimize operations and minimize operational expenses. To achieve these goals, plant personnel rely heavily on data to drive decisions.
Industrial organizations already are realizing the benefits of cloud computing for IT and business workloads, providing a path to manufacturing deployments.
Compared to time-consuming spreadsheet methods, advanced analytics offers a more effective approach to the analysis and reduction of batch cycle times, says Nick Gigliotti, analytics engineer…