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Demystifying Data Science Talk Recap: Natalie Evans Harris on The Ethics of Data Governance

By Emily Wilson • February 06, 2020

This is the 6th installment in an ongoing blog series to recap the talks given on Day 2 of our 2019 Demystifying Data Science live online conference. In her talk, Natalie Evans Harris discusses the ethics and opportunities of data governance.

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The Importance of Lifelong Learning & Fostering a Growth Mindset with Your Analytics Team

By Eric Kuennen • January 29, 2020

It was once common to learn a skill, apply it to a job for 30 or so years, and call it a career. But rapid technological developments have made that approach a thing of the past, and it's now more important than ever to keep learning, evolving, and applying new approaches in order to do your best work. In this post, read how business leaders can encourage a learning and growth mindset within their analytics teams.

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Extracting Value from Untapped Data

By Javed Ahmed • January 24, 2020

Are you using the right data for decision-making? The under-utilization of data is a key reason why most companies fall short in efforts to scale the impact of analytics and mitigate potential risks. In this post, learn how to effectively extract value from untapped data.

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Demystifying Data Science Recap: The Joys and Perils of Scaling AI with Peter Guerra

By Emily Wilson • January 15, 2020

In this recap of Peter Guerra's Demystifying Data Science talk, we walk through three examples of different journeys to scaling AI, detailing the joys and perils of each. Plus, get practical tips for how your business can scale AI effectively.

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Demystifying Data Science Recap: The Challenges to Becoming 'Data-Centric'

By Emily Wilson • December 23, 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. During hers, Aubrey HB, Director of Advanced Analytics at Nationwide Building Society, discusses the challenges that legacy companies face in becoming data-centric.

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Burtch Works Interviews Metis on Rise of Python in Business

By Emily Wilson • December 17, 2019

In a recent interview with Burtch Works, a leading executive recruiting agency, Metis Executive Director of Data Science Corporate Training Mike Galvin and Metis Sr. Data Scientist Kevin Birnbaum were asked about Python's rise in popularity among both practitioners and businesses.

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Available Now: Free On-Demand Webinar on How to Ensure AI ROI

By Metis • December 12, 2019

We recently hosted a live webinar on AI ROI: The Questions You Need to Be Asking. During this 45-minute talk, we examined each phase of an AI project: Planning, Development, and Governance. Learn more and register for the free recording.

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Metis Makes 2019 Training Industry's Top Training Companies List

By Metis • December 09, 2019

Training Industry Inc., the leading research and information resource for corporate learning leaders, announced the selections for its 2019 Top Training Companies™ lists, focused on the IT training sector of the learning and development market. We're proud to announce that we're included on its 2019 IT Training Watch List!

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Does the Data Speak for Itself?

By Alex Nathan • November 25, 2019

In this post, Alex Nathan, Co-Founder of Aventrix Analytics and part-time Metis Corporate Training Instructor, asks the question: Does the Data Speak for Itself? As it turns out, the answer is no, because data alone is typically not enough to arrive at any conclusions. The following equation explains the source of discrepancy: DATA + ASSUMPTIONS = CONCLUSIONS. Read on to find out how data scientists can address this issue.

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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.