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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

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 &

The Future of AI: An Insider’s Perspective

More and more of our clients approach us with operational problems that are ripe for machine learning solutions.  As such, the data scientists at Pandata spend much of our time maintaining proficiency with the latest results coming out of the

Much Ado About Data in 2018

As we usher in 2018, organizations are faced with new challenges but also many of the same that come year after year.  What we didn’t get to in 2017 still stares us in the face.  Was data strategy one of

Identifying Cyber Attacks with Deep Learning

Deep learning and cybersecurity As more critical decisions involve information systems and as software continually envelops the world, the security and integrity of our systems are more important than ever. This is especially true of systems that handle sensitive user

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