Financial Services Government Metadata Webinar 
IBM Big Data Hub
OCTOBER 4, 2022
Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are demanding it. Failure to meet regulations can lead to government intervention in the form of regulatory audits or fines, damage to the organization’s reputation with shareholders and customers, and revenue loss.
erwin
JANUARY 7, 2021
In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. However, that definition is too narrow in terms of AI’s relation to data governance.
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Collibra
JANUARY 18, 2022
The financial services industry has had a longstanding tradition of being at the forefront of adopting new technologies. Financial institutions operate in a highly complex data landscape, with petabyte-scale data residing across thousands of data sources, spread across on-premises and multi-cloud environments.
Collibra
JANUARY 27, 2022
They will need to enact a comprehensive data management and governance strategy in order to achieve adherence to IFRS-17 guidelines and provide detailed audit trails. This will require an intelligent data platform with a holistic and integrated approach to cataloging, governing, protecting, managing and collaborating on data.
Collibra
APRIL 14, 2022
It requires implementation of a comprehensive data management, governance and data quality strategy to guide risk measurement, regulatory rules and reporting guidelines. Increasingly, they want granular details to ensure that the right data governance, data quality and data protection practices are in place.
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