IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

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. A simple example is the case of missing values.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Finally, real-time BI helps better understand trends and create more accurate predictive models for organizations. Who Uses Real-Time BI?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Smarten

MAY 16, 2019

Perhaps the greatest risk to a lending organization is that presented by loan applicants who are unprepared to fulfill the long-term obligation of paying off a loan. Advanced analytics solutions are perfect for credit unions, banks, insurance businesses, auto and real estate loan processes. Learn More: Loan Approval.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Insurance 40

Smarten

JULY 30, 2018

When looking at the associated care (medication, exercise, follow-up appointments, age, risk factors, etc), hospitals and doctors can gain insight into methods, techniques and treatment plans and which will result in the best outcome and reduce the number of people readmitted for this type of medical issue.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks.

Modeling 226

Modeling Machine Learning Predictive Modeling Consulting 226

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But it’s also fraught with risk.

Insurance 83

Insurance Risk Data-driven Finance 83

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

DataRobot Blog

MAY 25, 2022

The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. DataRobot enables the user to easily combine multiple datasets into a single training dataset for AI modeling. Quickly and Easily Build Models. In 2017, Hurricane Harvey struck the U.S. The Datasets.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

O'Reilly on Data

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good.

Machine Learning 254

Machine Learning Testing Modeling Cost-Benefit 254

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. A risk-limiting audit (RLA) is one audit type used for election verification.

IT 98

IT Manufacturing IoT Cost-Benefit 98

DataRobot

NOVEMBER 15, 2021

This will be further expanded to energy, life sciences, insurance, government, telecommunications and media organizations in 2022. DataRobot AI Cloud on AWS enables organizations across the banking and healthcare industry to easily build, deploy, and monitor machine learning models that yield actionable insights and ROI.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Smarten

JULY 10, 2018

Use Case(s): Group loan applicants into high/medium/low risk based on attributes such as loan amount, installments, or employment tenure, organize customers into groups/segments based on similar traits, product preferences and expectations and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Smart Data Collective

DECEMBER 12, 2020

An evolving nature of machine learning and unique algorithms are being leveraged within the financial trading industry to compute a large number of data sets to make better and more accurate predictions and to help humans make better and more prudent decisions. Financial Models. Risk Assessment. Better Cybersecurity.

Big Data 136

Big Data Machine Learning Finance Predictive Modeling 136