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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
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
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
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
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.
Like any startup, we here at Pandata love doing team happy hours at our local watering holes. And like any residents of Cleveland – we have massive amounts of city pride. So when Nicole asked me where we should go
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
Cal Al-Dhubaib, Pandata’s chief data scientist, expounds on data science as a career.
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
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