Next week in San Francisco (Oct. 30 - Nov. 1), five Metis team members will give talks or host workshops at the Open Data Science Conference (ODSC) West and Accelerate AI Business and Innovation Summit. In this post, read about each, and if you're attending the conferences, be sure to check them out!
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.
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.
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.
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.
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.
When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.
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.