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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 hardened hacker would agree that

Perception Intelligence: Unraveling the Customer Feedback Conundrum

The CEO of a fortune five hundred firm found that the feedback her organization was receiving from top customers was negative. Metrics from their customer satisfaction surveys would indicate the opposite. It turns out, some customer service reps were selectively

Demystifying Deep Learning

By: Hannah Arnson These days, we frequently hear about “artificial intelligence” (AI), “neural networks,” and “deep learning.” The media presents these techniques as black boxes that can revolutionize, or destroy, society. At Pandata, we use AI (and neural networks &

Visualizing the Holidays

It’s been a great year here at Pandata! As we prepare to enjoy holiday family time, we wanted to use data to see who else is celebrating with us. This use case listens to live tweets on Twitter and plots

The Economics of Artificial Intelligence

Since the dawn of humankind, we have found ways to create and utilize new tools to assist in our jobs. Spears and arrows made it easier for humans to hunt. Cars and trains have sped humans around the world. And

What Makes A Well-Rounded Data Science Team?

Creating a data science team requires painstaking precision. We believe that it should be multifaceted. Not only should it consist of data scientists, with different specializations and disciplines, but it also requires a strong support system to round it out.

How A Good Data Strategy Can Help With Compliance – A GDPR Case Study

What is GDPR? GDPR or General Data Protection Regulation is a set of rules governing the use of personal data. It goes into effect on May 25th, 2018. In the EU, GDPR replaces a multitude of laws, from the existing

What is a Data Scientist?

Cal Al-Dhubaib, Pandata’s chief data scientist, expounds on data science as a career.

What is Data Science and Why Do You Need It?

The data revolution of the 2010’s is very similar to the IT revolution of the 1990’s. Just as the workforce required more computer literate professionals in the 90’s, today’s workforce increasingly calls for professionals that are comfortable making informed decisions