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Approachable AI – Built for Humans

Tag: data science

From Prototype to Production – Coding Best Practices

March 19, 2020March 19, 2020 Chris Bracedata

We live in an era of unprecedented automation and rapidly expanding data. In 2019 alone, the internet generated 2.5 billion bytes of data every day, but only about .5% of that data was meaningfully analyzed! This data deluge, combined with the want to derive[…]

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How Social Science & the Humanities + Data Science = More Ethical AI

February 21, 2020February 21, 2020 Julie Novicartificial intelligence

As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)?  How do we even recognize when those dilemmas emerge before they become public[…]

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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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Setting the Foundation for Marketing Success by Getting Back to the Basics

October 30, 2019December 3, 2019 Nicole Ponstinglebusiness

Whether you are a business owner wading through the sea of marketing tools or the lone marketer in an organization trying to keep up, there are some tried and true basics to set the foundation[…]

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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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The Power of One – Manufacturing Innovation and the IIoT

August 5, 2019September 27, 2019 Nicole PonstingleIIoT

You’ve started collecting some simple data in your plant and the missed opportunities are both frustrating and exciting. Your mind is racing with improvement opportunities here, optimizations there, and a huge profit at the end[…]

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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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Pandata Case Study: Cleveland Museum of Art – Open Access

April 1, 2019April 5, 2019 Hannah Arnsonartificial intelligence

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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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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