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 &
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
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
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
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