Data Collection Insurance Risk Testing 
IBM Big Data Hub
MAY 28, 2024
Data breach victims also frequently face steep regulatory fines or legal penalties. Government regulations, such as the General Data Protection Regulation (GDPR), and industry regulations, such as the Health Insurance Portability and Accounting Act (HIPAA), oblige companies to protect their customers’ personal data.
IBM Big Data Hub
SEPTEMBER 28, 2023
This process is designed to help mitigate risks so that model outputs can be deployed responsibly with the assistance of watsonx.data and watsonx.governance (coming soon). Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters.
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O'Reilly on Data
OCTOBER 22, 2020
banking, insurance, etc.), The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. I found this can be a difficult question to ask.
CIO Business Intelligence
MAY 16, 2023
The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.
IBM Big Data Hub
FEBRUARY 14, 2024
They can streamline workflows to increase efficiency and reduce time-consuming tasks and the risk of error in production, support, procurement and other areas. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.
Sisense
MARCH 3, 2021
This data comes from various sources: Hospital records Patient medical records Examination results Biomedical research Insurance records. This includes their medical diagnoses, prescriptions, allergies, and test results. We built our Savi Sense analytics platform to help healthcare organizations better understand their data.
Occam's Razor
OCTOBER 15, 2012
The cost of failure in the offline world is so high that even when the cost of failure is low (online), they don't want to take the smallest risk. The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration.
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