What makes up the nuts and bolts of a data science toolkit? What are the technical requirements and how do we know how to choose among them? Operating Systems The foundation of the toolkit is[…]
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Author: Hannah Arnson
Pandata Case Study: Cleveland Museum of Art – Open Access
The Cleveland Museum of Art is a world-renowned art museum with a substantial collection of over 61,000 artworks. In January of 2019, they launched their Open Access Initiative in which they made over 30,000 public[…]
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Smart Manufacturing: Getting Value from IIoT (Industrial Internet of Things) Data
The Internet of Things (or IoT) has been hailed as the next big thing to revolutionize manufacturing. A series of sensors can be attached to manufacturing equipment to continuously measure machine status, output, temperature and[…]
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Data Science as a Team Sport
By Hannah Arnson & Joseph Homrocky Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics,[…]
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Pandata Case Study – Midwest Industrial Supply
Midwest Industrial Supply Case Study – September 26, 2018 Midwest Industrial Supply specializes in environmentally friendly dust control applications, operating out of a series of regional satellite offices. When pricing a new spray opportunity, the[…]
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Data Ethics: The Role of Data Scientist as Cyber Steward
Facebook / Cambridge Analytics, the Equifax data breach, and political email hackings are just a few examples of the misuse of data and data ethics violations that are constantly making headlines. All except your most[…]
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Demystifying Deep Learning
By: Hannah Arnson These days, we frequently hear about “artificial intelligence” (AI), “neural networks,” and “deep learning.” The media presents these techniques as black boxes that can revolutionize, or destroy, society. At Pandata, we use[…]
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