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Approachable AI – Built for Humans

Category: analytics

AI Translator

AI Translator: A Necessary Player on Your AI Team

August 19, 2020August 19, 2020 Nicole PonstingleAi strategy

At Pandata, we hang our hat on educating clients and our community about AI in an approachable and jargon-free manner. This isn’t something that just happened overnight though. It takes a concerted effort to work[…]

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The Difficulty in Defining Artificial Intelligence

November 27, 2019December 10, 2019 Cal Al-Dhubaibanalytics

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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The Venue Menu

August 12, 2019September 8, 2019 Reed Dobo and Maggie Lashutkaanalytics

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

June 14, 2019July 15, 2019 Julie Novicanalytics

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

March 15, 2019March 19, 2019 Hannah Arnsonanalytics

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

February 27, 2019February 27, 2019 Julie Novicanalytics

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

November 21, 2018November 21, 2018 Hannah Arnsonanalytics

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

September 27, 2018September 27, 2018 Hannah Arnsonanalytics

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

August 27, 2018August 27, 2018 Hannah Arnsonanalytics

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

July 27, 2018July 27, 2018 Cal Al-Dhubaibanalytics

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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