DataRobot Blog

APRIL 29, 2022

In 2011, the Federal Reserve Board (FRB) and the Office of Comptroller of the Currency (OCC) issued a joint regulation specifically targeting Model Risk Management (respectively, SR 11-7 and OCC Bulletin 2011-12 ). A purposeful MLOps strategy can provide exactly this.

Risk 111

Risk Modeling IT Risk Management 111

Smart Data Collective

APRIL 13, 2021

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. One of the best solutions for data protection is advanced automated penetration testing. The instances of data breaches in the United States are rather interesting.

Testing 124

Testing Behavioral Analytics Data-driven Big Data 124

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. This may be accomplished through a wide variety of tests, to develop a deeper introspection into how the model behaves.

Risk 52

Risk Modeling Metrics Business Objectives 52

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself. Stein Kretsinger, founding executive, Advertising.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Speaking of the Four Seasons, consider how sad their nudging strategy is vs. the one that booking.com has on display: All the data you need for this nudge… You already have. I did that.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

SEPTEMBER 13, 2016

I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Bonus #1: Lessons from Econsultancy/Lynchpin Survey Strategy. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis.

Modeling 127

Modeling Reporting Strategy Consulting 127