Cloudera

DECEMBER 11, 2020

That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. Insurance and finance are two industries that rely on measuring risk with historical data models. Data Variety.

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. These characteristics of the problem drive the forecasting approaches.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

JULY 7, 2023

As an IT management framework, ITIL can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. ITIL certification is near the top of almost every list of must-have IT certifications, and for good reason.

Cost-Benefit 94

Cost-Benefit Strategy Management Uncertainty 94

O'Reilly on Data

JULY 20, 2021

In 2019, YouTube had to settle with the FTC for a $170 million fine for selling ads targeting children. It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? There is a tradeoff between the trust and risk.

Risk 303

Risk Software Interactive Modeling 303

CIO Business Intelligence

SEPTEMBER 12, 2022

“It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Santhosh Keshavan, executive vice president and CIO, Voya. Voya has promoted a culture that encourages free thinking and creativity, says Keshavan.

Experimentation 121

Experimentation Consulting Technology Machine Learning 121

Domino Data Lab

JUNE 2, 2019

Ludwig (@RandiRLudwig) May 23, 2019. Ludwig (@RandiRLudwig) May 24, 2019. Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Andrew White

APRIL 22, 2020

Emergency measures are undertaken with little planning. In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory.

Software 52

Software Uncertainty Measurement Marketing 52