Domino Data Lab

AUGUST 6, 2021

With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals. It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses. What is to be done?

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

The benefits are numerous. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. Economic Value (EcV) is the value of short and long-term revenue and cost savings. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome).

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

O'Reilly on Data

MAY 11, 2020

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. Regardless of how we think of ourselves, humans aren’t terribly good at trading off short-term stimulus against long-term benefits. And the cycle goes on.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190