This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove Data Architecture Remove Data Processing Remove Data Quality Remove Risk Management
article thumbnail

How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

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 83
Insurance Risk Data-driven Finance 83
article thumbnail

A guide to efficient Oracle implementation

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive.

Testing 78
Testing Consulting Digital Transformation Cost-Benefit 78
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 52,000+ Insiders by signing up for our newsletter

About
Webinars
Awards
About
Editions
Webinars
Awards
Editions
Topics
LinkedIn Twitter
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024