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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Category: data science
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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Sifting Through the Noise: Data Science Buzzwords
Call it Machine Learning or Artificial Intelligence, the goal is to solve problems using data. Solving problems using data is the driving force behind data science. Everything else is just a weapon in our arsenal. […]
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Pandata “Holid.AI” Greeting Generator
Pandata “Holid.AI” Greeting Generator Machine learning and AI can be confusing and scary subjects. We want to make them fun and accessible so we decided to use artificial intelligence to generate holiday greetings that are merry[…]
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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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Data Science as a Business Function
There is no doubt that data science is revolutionizing the business world and the companies that aren’t investing in it are being left behind. With all the hype around the data scientist, with skills that span[…]
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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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Data Shaming: A Cautionary Tale for the Sales Organization
A large sales organization recently implemented an analytics strategy, with one of their critical metrics being lead conversion. The target number was set and reporting tools were put in place. Each sales team was scored[…]
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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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