Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 81

Insurance Risk Data-driven Finance 81

Cloudera

JULY 15, 2021

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . At Cloudera, we believe in the untapped opportunity presented by data and AI, too.

Risk 99

Risk Optimization Management Insurance 99

CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . million in insurance fraud in just 7 months. .

Analytics 78

Analytics Insurance Big Data Uncertainty 78

DataRobot Blog

JULY 21, 2022

Inquire whether there is sufficient data to support machine learning. Document assumptions and risks to develop a risk management strategy. Data aggregation such as from hourly to daily or from daily to weekly time steps may also be required. Perform data quality checks and develop procedures for handling issues.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Smart Data Collective

SEPTEMBER 25, 2019

million penalty for violating the Health Insurance Portability and Accountability Act, more commonly known as HIPAA. If you trust the data, it’s easier to use confidently to make business decisions. Organizations receive significant fines for noncompliance.

Technology 85

Technology Statistics Strategy Insurance 85

AWS Big Data

AUGUST 14, 2023

For example, an insurance company with a property and casualty legal entity in North America and a life entity in Germany may need to implement DPPM separately within each entity. Organizational governance for these data products typically favors availability and data accuracy over agility.

Management 81

Management Risk Measurement Optimization 81

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66