Blog

By Metis • April 27, 2020

Data practitioners often face multiple challenges when working across complex data architectures. To help, Hitachi Vantara developed the DataOps.NEXT Virtual Conference, happening May 14th from 9 am - 6 pm. Learn more about this totally free online conference.

By Emily Wilson • April 23, 2020

During his Demystifying Data Science talk, Atif Kureishy (Global Vice President of AI & Deep Learning Products at Teradata) discussed how to use AI to merge offline and online activity in order to better serve customers while staying cost-efficient in the retail space.

By Tony Yiu • April 14, 2020

Models provide necessary simplifications to a complex world. They reduce real-world phenomena into a set of key features and relationships that allow us to explain, analyze, and sometimes even predict. But there is a cost to these powerful benefits. In this post, Data Scientist Tony Yiu walks us through understanding the limitations of our models and their assumptions.

By Metis • April 03, 2020

Join us every Tuesday in April for Intro to Python, a free live online training series created for business professionals. Taught live via Zoom, participants can ask questions in real-time and chat with other attendees.

By Metis • March 31, 2020

We recently hosted a webinar on Exploring the Adoption of Python in the Workplace, during which our team broke down Python for data science and analytics, explaining what drives adoption and how companies are reacting to the shift.

By Metis • March 30, 2020

The Open Data Science Conference (ODSC) East will be held in a virtual format this year from April 14-17, and two of our Sr. Data Scientists are all set to present. Here, read what they'll cover and how you can register to watch them live.

By Metis • March 04, 2020

During this upcoming (free!) webinar, hear Mike Galvin, Metis Executive Director of Corporate Training & Kevin Birnbaum, Metis Sr. Data Scientist, break down Python for data science and analytics, explain what's driving adoption in the field, and discuss how industries and companies are reacting to the shift.

By Tony Yiu • February 20, 2020

Too often in the business world, we think deterministically. We plan our finances, inventories, etc. for the base case – and it usually works out alright. (After all, the base case is the scenario that is most likely to unfold.) A better way to forecast and think about the future is probabilistically - and an intuitive way to do this is via Monte Carlo simulations. Read why here.

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.