Allison Buenemann

Allison Buenemann is an Industry Principal at Seeq Corporation. She has a process engineering background with a BS in Chemical Engineering from Purdue University and an MBA from Louisiana State University. Allison has nearly a decade of experience working for and with bulk and specialty chemical manufacturers to solve high-value business problems leveraging time series data. In her current role, she enjoys monitoring the rapidly changing trends surrounding digital transformation in the chemical industry and translating them into product requirements for Seeq.

Articles

Figure 1: A treemap displays a chemical company’s critical control valve health scores within a production unit. Courtesy: Seeq
Analytics June 3, 2022

Advanced analytics improve process optimization

Success stories show how advanced analytics software is used to create insights and improve process efficiency. See three use case examples.

By Allison Buenemann
Courtesy: Seeq Corp.
AI and Machine Learning September 12, 2021

Scaling machine learning for the manufacturing masses

Enabling access to machine learning algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades.

By Allison Buenemann
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