Anaconda Briefing Note

Document ID: CGBN123 | Last Updated: May 4, 2018 Abstract In the context of Machine Learning (ML) and AI, data scientists are the ones who figure out how to apply ML algorithms and approaches to data to gain the insights necessary to power intelligent applications. As such, data scientists, and an emerging new class of …

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Anaconda Briefing Note [CGBN123]

In the context of Machine Learning (ML) and AI, data scientists are the ones who figure out how to apply ML algorithms and approaches to data to gain the insights necessary to power intelligent applications. As such, data scientists, and an emerging new class of ML engineers and scientists, need tools that help them access …

Read moreAnaconda Briefing Note [CGBN123]

AI Today Podcast #35: Interview with Tom Davenport, Babson College, MIT, and Deloitte — Augmented Intelligence, GDPR, Data Science, and More

In this wide ranging podcast, hear from Professor Tom Davenport, Distinguished Professor at Babson College, fellow of MIT initiative on digital economy, and senior advisor to Deloitte’s Analytics & AI practice. Tom Davenport recently wrote a piece for the Harvard Business Review on “Artificial Intelligence for the Real World”, as well as the widely promoted …

Read moreAI Today Podcast #35: Interview with Tom Davenport, Babson College, MIT, and Deloitte — Augmented Intelligence, GDPR, Data Science, and More

Not all Machine Learning (ML) Is Artificial Intelligence (AI): Part II

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: One of the great things about being an analyst at Cognilytica is that we get to see a very wide range of technologies, adoption patterns, and implementations for technology across a very disparate set of industries and …

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

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: 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 …

Read moreThe Difference Between a Data Scientist and Data Engineer and Why You Should Care

AI Today Podcast #30: Interview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and ML

Every once in a while we have a podcast interview with someone that really makes us rethink some of the popular positions in Artificial Intelligence (AI) and Machine Learning (ML). This podcast’s interview with Luis Perez-Breva, faculty director of innovation teams at MIT’s School of Engineering and working with MIT Sloan School of Management, was one …

Read moreAI Today Podcast #30: Interview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and ML