October 14, 2019

Welcome to the third post of our interview series. Given AI and machine learning is pervading many industries and professions, we thought we'd reach out to a few experts in various industries to find out m...

August 27, 2019

Welcome to the first post of our new interview series. Given AI and machine learning is pervading many industries and professions, we thought we'd reach out to a few experts in various industries to find o...

March 25, 2019

We at Verge Labs are proud to launch Oversight.ai - an ethical AI software suite.

Why do we need this?

We have seen discussions about ethics in data, machine learning and AI proliferate in the conference cir...

November 1, 2018

I recently interviewed Tiberio Caetano, Co-Founder and Chief Scientist at Ambiata, about how actuaries can make the transition into data science. Click on the image above for the full article.

October 16, 2018

We've been doing some work with computer vision for our clients and couldn't help having a bit of fun with it. Advances in computer vision (i.e. deep learning) have spawned all kinds of interesting effects...

September 21, 2018

My partners and I have given countless talks about data science, and are often asked at conferences, meetups and other events about which resources we find valuable for staying ahead of the curve. What fol...

September 4, 2018

I recently interviewed Tiberio Caetano, Co-Founder and Chief Scientist at Ambiata, about AI and ethics, on behalf of the Actuaries Institute. Click on the image above for the full article.

August 6, 2018

Anthony Tockar (CIPM, CIPP/E) is an IAPP-certified information privacy manager and information privacy professional (Europe). He is also an expert in differential privacy, his work earning him a citation i...

June 1, 2018

Data         Scientist 

Two words, when combined, and placed under one's name on a resume or LinkedIn profile, demonstrably lead to a deluge of job opportunities, random connection...

May 20, 2018

Presented at Data Science Sydney, March 2018

Abstract: Interpretability matters! Machine learning models have been getting more accurate, but also more complex over the past few years. However in many setti...

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