Insurance Manufacturing Metadata 
Security Affairs
OCTOBER 4, 2022
The malicious installer was used to infect organizations in multiple sectors, including the industrial, healthcare, technology, manufacturing, insurance and telecommunications sectors in North America and Europe. The attackers used the Microsoft Metadata Merge Utility binary to load a the MidlrtMd DLL.
erwin
DECEMBER 9, 2024
Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see. Being that AI is comprised of more data than code, it is now more essential than ever to combine data with metadata in near real-time.
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eSecurity Planet
JUNE 27, 2023
.” The Third Annual Report on the State of SIEM Detection Risk by detection posture management vendor CardinalOps is based on analysis of configuration metadata from a wide variety of SIEM instances, including Splunk, Microsoft Sentinel, IBM QRadar, and Sumo Logic, across verticals that include banking and financial services, insurance, manufacturing, (..)
Collibra
MAY 14, 2021
This conference brought together data and analytics leaders from top industries such as government, banking, financial services, insurance, and manufacturing. Below are my top 4 takeaways from the conference: .
IBM Big Data Hub
OCTOBER 12, 2023
Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.
IBM Big Data Hub
FEBRUARY 14, 2024
Deliver new insights Expert systems can be trained on a corpus—metadata used to train a machine learning model—to emulate the human decision-making process and apply this expertise to solve complex problems. This way, they are also able to calculate the risk of an individual or entity and calculate the appropriate insurance rate.
Reltio
OCTOBER 4, 2018
Reltio helps this effort through logical metadata that combines all 50+ schemas into one unified canonical model and view of the customer data while ensuring continuous data quality that prevents a traditional data lake from turning into a data swamp. based healthcare insurer, one of the largest U.S.-based
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