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

Cloudera

AI-ify risk management. Leverage ML/AI to refine risk models, incorporating data from diverse sources, and predicting outcomes based on market sentiment, climate data, etc. Practice real-time risk management. Automate wealth management. Simplify regulatory compliance.

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A guide to efficient Oracle implementation

IBM Big Data Hub

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.

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