BizAcuity

MARCH 18, 2019

The consumer lending business is centered on the notion of managing the risk of borrower default. Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Predictive Analytics enhances the Lending Process.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

CIO Business Intelligence

APRIL 11, 2023

Mistake 1: undisciplined growth Leaders are facing times of uncertainty, magnified recently with the collapse of Silicon Valley Bank and ongoing market turmoil. As we’ve seen over the last several months, irresponsible growth can lead to hiring freezes and limiting investments (at best) or mass layoffs and big risks (at worst).

Uncertainty 52

Uncertainty Predictive Modeling Risk Technology 52

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Data engineers ensure that all the ingested, processed, and transformed data culminates in actionable, reliable products—be it a predictive model, a dashboard, or a data export.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. AI initiatives may also require significant considerations for governance, compliance, ethics, cost, and risk. There’s a lot of overlap between these factors. Defining them precisely isn’t as important as the fact that you need all three.

Cost-Benefit 294

Cost-Benefit Advertising ROI Machine Learning 294

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. A single prediction of ROI output from a single model would not be very trustworthy.

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Boiling all the information down to a single model does not help us challenge to what degree we think the future will differ from the past. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. 75 percent of companies confirm that predictive models provide good forecasts for them, even in volatile markets.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52