Cloudera

NOVEMBER 16, 2020

Well, it is International Fraud Awareness Week, focused on promoting fraud prevention and education. Maybe I am naïve but I feel a bit sad that there is a need for “fraud week”. The insurance industry has a long and intimate relationship with fraud in many different ways. Yet, fraud in the U.S.

Insurance 99

Insurance Cloud Computing Media Education 99

Striim

MAY 1, 2024

UPS Capital recognizes the challenges faced by its customers in securing their package delivery ecosystem and is harnessing digital capabilities and data access to redefine traditional approaches, ensuring improved customer experiences and combating shipping loss.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Knowledge Hut

NOVEMBER 20, 2023

The tactics of fraud grow in tandem with the financial landscape. On the plus side, artificial intelligence (AI) and machine learning (ML) have emerged as effective methods for combating fraud. So, let us begin our adventure into the realm of artificial intelligence fraud detection.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

AltexSoft

JUNE 25, 2022

Besides, due to the specific nature of the industry with high-value one-off payments, a big number of businesses across the world, and rapid customer consumption of services, the travel and hospitality sector is a huge target for fraud. What is travel fraud protection and why is it important? percent of global GDP. trillion dollars.

Insurance 52

Insurance Hospitality Machine Learning Education 52

Knowledge Hut

DECEMBER 26, 2023

But by doing so, they have started to face serious threats of data breaches and cyber-attacks. Ingenious criminals have been known to use advanced strategies to carry out unauthorized activities and potential fraud. Cyber laws cover these three primary areas: Fraud: Cyber laws protect users from falling victim to online fraud.

Insurance 98

Insurance Government Medical AWS 98

ProjectPro

AUGUST 28, 2021

The dataset contains three weeks of activity data on each driver like login time, number of hours active each day, date, and driver details like driver gender, age, id, number of kids, etc. There are three data files, namely driver.csv, ping.csv, and test.csv. Machine Learning Projects (ML Projects) in Transportation 1.

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Portfolio Project Datasets Algorithm 52