Octopai

JUNE 16, 2021

Do you ever feel like taking risks? . If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . The Basel III framework, as well as Basel IV, call for regulation changes in multiple areas, including: Credit risk.

Management 52

Management Risk Management Risk Visualization 52

CIO Business Intelligence

DECEMBER 20, 2023

Verizon’s research suggests there is a pressing need for organizations to break free from repetitively implementing the same strategies and their lackluster results. Verizon’s analysis of PCI security compliance efforts over the last decade reveals a nagging problem: how to overcome compliance program stagnation.

Optimization 52

Optimization Data-driven Risk Management Management 52

Decision Management Solutions

AUGUST 18, 2020

Neil Raden and I introduced the basic classification of decisions used here in our book, Smart (Enough) Systems , back in 2007: Strategic, one-time one-off decisions typically made with plenty of time for analysis. The paper focuses on fast, frequent operational decisions.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].) Why experiment with several parameters concurrently?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Scoring – i.e. profitability or risk. Banks use analytics to differentiate customers and align product offerings based on credit risk, usage, and other characteristics. Master data management.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

The Unofficial Google Data Science Blog

JUNE 30, 2016

2007): Propose a finite collection $mathcal L={hat e_k:k=1,ldots,K}$ of estimation algorithms. This simulation scheme was first used in an influential paper by Kang & Schafer (2007), and became a standard for comparing estimators for causal estimands. This fact is well documented by Kang & Schafer (2007). 2014): 243-263.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

OCTOBER 15, 2012

My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well). But they are just scratching the surface of what's possible.

Advertising 136

Advertising Marketing Strategy Insurance 136

O'Reilly on Data

DECEMBER 9, 2019

Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. beta) is the level of systematic risk exposure to the market and ? or systematic risk exposure to the overall market.

Statistics 27

Statistics Uncertainty Risk Marketing 27