The Difference Between a Data Scientist and Data Engineer and Why You Should Care

As Artificial Intelligence (AI) continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the right people and skills in place. In particular, we have seen a significant increase in demand for data scientists in organization as AI, various applications of machine learning (ML),  …

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AI is Not a Job Killer — it’s a Job Category Killer

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: AI brings mixed emotions and opinions when referenced in the context of jobs.  Here’s something fun you can do at your next business or technology networking event; ask the question “Do you think Artificial Intelligence will be …

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Cognilytica’s AI Predictions for 2018

“Prediction is very difficult, especially if it’s about the future.” –Nils Bohr, Nobel laureate in Physics Prediction 1: No AI Winter in 2018 The AI train continues to steam along. What, if anything can stop it? Certainly in 2018, we’re not expecting any slowing. Will issues of Responsible AI rear their heads? Will new AI …

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AI Today Podcast #013: Avoiding Biases in AI Training Data – Interview with Tess Posner of AI4All

The basis for most modern AI systems are Machine Learning and Deep Learning. It goes without saying that in order for something to be “learning”, something has to teach it. Specifically, what makes these systems effective is a large quantity of good training data that is relevant to the area in which you’re trying to …

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AI Today Podcast #010: AI, Universities and the Knowledge Gap with Steve Kuyan of FutureLabs

NYU Tandon and FutureLabs recently ran an AI Summit (Oct 30-31, 2017) where Cognilytica and AI Today were proud partners.  We were able to sit down with Steve Kuyan, a managing Director at FutureLabs to get this thoughts on the Summit, how artificial intelligence is currently being taught in universities, and the knowledge gap that’s …

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