Pandata Blog

AI design and development for high risk industries

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

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 with the ingredients to our

From Prototype to Production – Coding Best Practices

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 more value ever faster, has

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

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 relations catastrophes?   Humanities and social

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

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 for marketing success.   “Success” isn’t

AI as the Artist’s Muse

What happens when a classically trained painter and an A.I. muse come together to create a work of art? Chris Peters, a Los Angeles-based artist, filmmaker, and former software engineer, began to find out with his latest project, “Tensor Dream.”

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 trying to solve is the

The Power of One – Manufacturing Innovation and the IIoT

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 of the rainbow (followed by

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. While there were too many

What’s In a Data Science Toolkit?

What makes up the nuts and bolts of a data science toolkit?  What are the technical requirements and how do we know how to choose among them? Operating Systems The foundation of the toolkit is the operating system computers use

Pandata Case Study: Cleveland Museum of Art – Open Access

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 domain works and metadata for