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Demystifying Data Science Recap: Adrian Cartier on Moving from Cottage Industry to Industry Force

By Emily Wilson • November 19, 2019

This is part of a blog series to recap the talks given on Day 2 of our 2019 Demystifying Data Science live online conference. At the time of his talk, Adrian Cartier worked at Bayer, where he led data science efforts. Here, he discusses Bayer's move from cottage industry to industry force by way of a top-down digital transformation.

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Managing Your Team's Professional Development by Implementing Skill Paths

By Douglas Noll • November 15, 2019

Many employees feel stuck in jobs where everything is “status quo.” They might feel happy or content at times, but many also have a feeling that there’s more they could be doing to contribute to the company – if they only knew where to start. In this post, we explore the benefits of developing skill paths for your employees, which can drive performance, demonstrate company investment, and increase career satisfaction.

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Free Webinar 12/5: AI ROI - The Questions You Need To Be Asking

By Metis • November 13, 2019

On Thursday, December 5th, you're invited to join us live online for a free webinar on AI ROI: The Questions You Need To Be Asking, hosted by Metis Sr. Data Scientist and Head of Corporate Training Executive Programs.

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Reacting to the New Burtch Works Survey & Python’s Rise in Popularity

By Kevin Birnbaum • October 28, 2019

Metis Sr. Data Scientist Kevin Birnbaum reacts to a new Burtch Works survey about which tools data scientists and analytics professionals prefer to use.

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AMA Recap: Become a Better Reader & Designer of Visualizations with Alberto Cairo

By Metis • October 21, 2019

We've all heard the saying, “a picture is worth a thousand words." We believe that visualizations should "simplify information" and that they are powerful because they are “intuitive and easy to read." But what if these are myths? During his AMA, Alberto Cairo (Knight Chair in Visual Journalism at the University of Miami), spoke on how to become better readers and designers of charts, graphs, and maps.

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AMA Recap: How Data Can Save the World with Natalie Evans Harris

By Metis • October 17, 2019

We recently hosted Natalie Evans Harris, Co-Founder and Head of Strategic Initiatives at BrightHive, for a live online Ask Me Anything session exploring the ways in which data scientists, data professionals, companies, and institutions can equip themselves and others with tools to transform lives through data. Watch a recording here.

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Meet Kevin Birnbaum, New Metis Sr. Data Scientist

By Emily Wilson • October 17, 2019

Kevin Birnbaum is a new Sr. Data Scientist on the Corporate Training team at Metis. We recently caught up with him to ask a few questions about his career thus far, his new role at Metis, what interests him most about data science, and more.

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Ai4 Finance Conference Panel Recap: Preparing Your Organization for AI feat. Metis’s Michael Galvin

By Emily Wilson • October 15, 2019

The Ai4 Conferences present opportunities for business leaders and data practitioners to discuss the adoption of AI in their industries, be it healthcare, retail, cybersecurity, or beyond. At this year's Ai4 Finance Conference in NYC, Michael Galvin (Metis Executive Director of Data Science Training) participated in a panel discussion on Preparing Your Organization for AI. Read a recap of it here.

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Demystifying Data Science Recap: Tom Schenk Jr. on Doing Good with Data Science

By Emily Wilson • October 01, 2019

For those interested in what was covered on Day 2 of Demystifying Data Science (designed for Business Leaders, Managers, and Practitioners), we’re offering an easy-to-read blog series that summarizes each speaker's talk. This installment covers Tom Schenk Jr.'s talk on How We Can Do Good With Data Science.

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We're Not Going to Hire our Way Out of this One

By Eric Kuennen • September 23, 2019

When hiring data scientists, it's a fight for talent. To help fill the talent gap, companies need to focus on the talent sitting right in front of them; to align recruiting practices with skilling and upskilling their current employees, enabling and empowering them to take on the tasks that the 4th industrial revolution is already demanding.