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

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. The good news is that the encryption software market is growing.

Technology 86

Technology Statistics Strategy Insurance 86

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

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52