CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 126

Data Analytics Diagnostic Analytics Management Analytics 126

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Predictive Analytics Using External Data. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

IBM Big Data Hub

FEBRUARY 14, 2024

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Cloudera

SEPTEMBER 7, 2023

The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” Formalize ethics and bias testing. Develop and implement automated tests to identify biases in AI models, ensuring that models align with ethical standards and fairness criteria.

Insurance 83

Insurance Risk Data-driven Finance 83

DataRobot

NOVEMBER 15, 2021

This will be further expanded to energy, life sciences, insurance, government, telecommunications and media organizations in 2022. DataRobot & Palantir Foundry Demand Forecasting Solution. Find out more. Together with Microsoft, DataRobot is enabling manufacturers to deliver more connected, intelligent AI solutions at scale.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Independent Samples T Test: What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization? Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40