AI is one of the most widely talked about yet poorly understood terms in organizations. While over 50% of organizations considered AI a priority in 2019, 77% of organizations are failing to successfully adopt AI-enabled[…]
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Category: analytics
The Venue Menu
During our internship at Pandata, we have grown in our knowledge of data science, and gratefully so. Being able to use artificial intelligence and data science as a way of simplifying a problem you are[…]
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PyCon 2019: A Little Something for Everyone
PyCon is the largest annual gathering of the Python user community, a group to which Pandata enthusiastically belongs. Several members of Team Panda were able to participate in this year’s PyCon, conveniently held in Cleveland.[…]
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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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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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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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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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Much Ado About Data in 2018
As we usher in 2018, organizations are faced with new challenges but also many of the same that come year after year. What we didn’t get to in 2017 still stares us in the face.[…]
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