Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

DataRobot Blog

MAY 25, 2022

DataRobot enables the user to easily combine multiple datasets into a single training dataset for AI modeling. With DataRobot, professionals and organizations impacted by natural disasters can solve an array of difficult predictive analytics questions and rapidly gain value from their data.

Risk 52

Risk Insurance Predictive Modeling Predictive Analytics 52

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

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 98

IT Manufacturing IoT Cost-Benefit 98

AWS Big Data

MARCH 7, 2023

It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights. It helps you build, train, and deploy models consuming the data from repositories in the data hub. And AWS Data Exchange helps publish your data to third parties for consumption through AWS Marketplace.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

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

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

Smarten

JULY 10, 2018

Use Case(s): Determine if a product sells better in certain locations, verify if gender has an influence on purchasing decisions, Identify if demographic factors influence banking channel/product/service preference or selection of a type of term insurance plan and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Domino Data Lab

AUGUST 20, 2019

Another example is the use of body mass index (BMI) by medical providers and insurance companies. Visually, the shape has relatively flat sides. Some of the benefits of rescaling become more prominent when we move beyond predictive modeling and start making statistical or causal claims. Discretization.

Testing 68

Testing Modeling Interactive Measurement 68

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Domino Data Lab

AUGUST 1, 2021

In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. layer-wise relevance propagation), model distillation (e.g. nn_importances.tail(25).plot.barh(figsize=(10,12));

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139