IBM Big Data Hub

FEBRUARY 14, 2024

Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Sisense

MARCH 27, 2019

It also lets companies provide users with the data they need to complete their jobs more effectively, and even assists in predictive analytics. Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. Why is Real-Time BI Crucial for Organizations?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

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.” The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Plan to scale for the future.

Insurance 78

Insurance Risk Data-driven Modeling 78

Smarten

JUNE 26, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. How Can the Chi Square Test of Association Be Used for Business Analysis?

Testing 40

Testing Statistics IT Business Intelligence 40

DataRobot Blog

MAY 25, 2022

Using either the code-centric DataRobot Core or no-code Graphical User Interface (GUI), both data scientists and non-data scientists such as risk analysts, government experts, or first responders can build, compare, explain, and deploy their own models.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smart Data Collective

DECEMBER 12, 2020

These analytics are much more accurate and include more data that allows better predictive models to be created. These things can end up resulting in much more precision in predictions which can help to minimize the risk associated with making financial trading decisions. Better Cybersecurity.

Big Data 135

Big Data Machine Learning Finance Predictive Modeling 135

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40