Productive Prediction-Making
Rapid prediction of quality problems can empower petrochemical plant personnel to make timely adjustments that improve production outcomes...
Advanced Analytics for Wastewater Treatment
Across industrial wastewater treatment facilities modern automation is enabling the inexpensive generation and collection of massive amounts of process data. The propensity to make…
How Raw Data is Made Ready for Applying Analytics
What’s the barrier to getting insights from data?
Process plant time-series data analysis can’t proceed effectively until...
Product Focus: The Digital Leap
The pharma industry was already in the midst of a slow but steady adoption of digital technologies as a way of beefing up operational capabilities. Once COVID-19 hit...
Death by a Thousand Spreadsheets: The Simple Yet Insidious Nature of Time Series Data
Despite their many limitations, spreadsheets are the tool of choice for engineers performing ad hoc analytics on time series data. Fortunately, there are better alternatives in the form of…
2020 Engineering Leader Under 40: Krista Novstrup, 38
Manager of Analytics Engineering, Seeq Corp., Seattle, Wash., BS Chemical Engineering, University of Washington, PhD Chemical Engineering, Purdue University
Solving problems at ‘the speed of now’
How pharma can leverage the cloud to make data-driven decisions quickly
Scoring Big on Insight From Effective Data Cleansing and Contextualization
When it comes to time-series data, there is no shortage of options. Cloud-based, data-lake, open source, and historians are all readily available solutions for data storage, along with lower…
Making Sense of the Industrial Analytics Market
As organizations continue to see the value in industrial analytics, making sense of the sheer amount of data produced can be a difficult task. Finding the right product and developing a proper…
Risky Business: Assessing Protein Aggregation Grows Increasingly Challenging
Current and newer biologic modalities pose increasingly complex challenges to the detection and characterization of protein aggregates.