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Pandata Blog

Pandata Blog

Approachable AI – Built for Humans

Author: Julie Novic

human centered AI

Human-Centered AI: Practical Application Of & Why It Matters

January 18, 2021January 20, 2021 Julie Novicartificial intelligence

We talk a lot about human-centered Artificial Intelligence (AI), but what does that mean in application?  It can mean different things depending on the purpose of the solution being created.  Human-centered AI can mean creating[…]

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AI Recommender system

How Does Spotify Know What Music I Might Like? Demystifying Recommender Systems Part II

May 22, 2020May 22, 2020 Julie Novicartificial intelligence

In an earlier blog, we discussed some of the basic concepts behind recommender systems and what they do.  This time let’s delve a little deeper into how recommender systems work. First we need to start[…]

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“An AI Walks into a Bar” – Using Artificial Intelligence to Generate Humor

April 15, 2020April 16, 2020 Julie Novicartificial intelligence

“If the mushroom was such a fungi, why didn’t they have the party at his house?” “Because there wasn’t much-room.”                               –Dad Joke Generator We all know a bad joke when we hear it. Sometimes one[…]

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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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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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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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