CIO Business Intelligence

SEPTEMBER 2, 2022

How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. The pandemic falls into the macro-level because we really can’t predict those kinds of events.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

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 115

Forecasting Data Science Statistics Uncertainty 115

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. The consumer lending business is centered on the notion of managing the risk of borrower default.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Sisense

MARCH 24, 2020

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. At RetailZoom , a team of data scientists supplies supermarkets and FMCG companies with predictive models that incorporate transactional and demographic data to determine the size and scope of promotional activities.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

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

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

CIO Business Intelligence

AUGUST 7, 2023

Foundry / State of the CIO That distinct view, coupled with ongoing pressure to accelerate digital business brought on by pandemic-era changes and economic uncertainties , have launched CIOs into the change management hot seat.

IT 98

IT Sales Manufacturing Cost-Benefit 98

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. They have a paradigm called the “continuous learning machine,” where engineers use AI to automate their repetitive work tasks and build predictive models to help with productivity.

Uncertainty 52

Uncertainty Predictive Modeling Risk Technology 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. These predictive posterior distributions have many uses such as in multi-armed bandit problems. bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40

O'Reilly on Data

SEPTEMBER 11, 2019

But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering. If anything, this focus has shifted to the ML or predictive model. In the third place, there’s uncertainty about what to do with all of this data.

IoT 22

IoT Big Data Data Warehouse Uncertainty 22

Insight

FEBRUARY 19, 2020

The majority of predictions for the former lie in the profit region while the majority of predictions for the latter fall in the loss region. I wanted to note that my technique to predict ROI and ROI uncertainty is designed to supplement but not supplant the creative decision-making process.

Risk 67

Risk ROI Modeling Metrics 67