Cloudera

NOVEMBER 16, 2020

The sizable impact from fraud on the insurance market is increasingly being addressed by fraud detection, prevention, and mitigation technology tools and services, creating a substantial fraud detection market. Unfortunately, fraudsters will continue to look for new opportunities and will also seek to leverage new technologies.

Insurance 100

Insurance ROI Marketing Machine Learning 100

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference.

Analytics 140

Analytics Machine Learning Insurance Testing 140

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape. C-level executives and professionals alike must learn to speak a new language - data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

Jet Global

SEPTEMBER 26, 2023

He brings international finance expertise from leadership positions in healthcare and financial technology, most recently as CFO at Itiviti. He specializes in process reengineering and risk reduction. This requires access to data that’s real-time. PvT: From a tax perspective, the effective tax rate, ETR is always a top priority.

Marketing 52

Marketing Finance Reporting Operational Reporting 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52