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AIIM
NOVEMBER 16, 2017
This is the seventh post in a series on privacy by Andrew Pery. You might also be interested in: Mitigate Data Privacy and Security Risks with Machine Learning. The Privacy and Security Dichotomy. GDPR and Cross Border Data Flows between the EU and the US: Current State of the Law.
erwin
APRIL 2, 2021
With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.
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erwin
OCTOBER 31, 2019
In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in early 2019 – more than 80 times the steepest fine the U.K.’s They also may face heavy fines and other financial, not to mention PR, penalties.
Thales Cloud Protection & Licensing
DECEMBER 11, 2023
In a recent study , IDC predicted the global datasphere will more than double in size from 2022 to 2026, and that 80% of that data will be unstructured. Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable.
IBM Big Data Hub
MAY 9, 2022
Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. The challenge, of course, is the added complexity which hinders the actual use of that data for analysis and AI. Data governance and privacy. Read the eBook. Start a trial. 28, 2021. [2].
erwin
DECEMBER 12, 2019
Some erwin customers report productivity gains of 85+% for coding, 70+% for metadata discovery, up to 50% for data design, up to 70% for data conversion, and up to 80% for data mapping. These connectors offer the fastest and most accurate path to data lineage, impact analysis and other detailed graphical relationships.
erwin
DECEMBER 12, 2019
Some erwin customers report productivity gains of 85+% for coding, 70+% for metadata discovery, up to 50% for data design, up to 70% for data conversion, and up to 80% for data mapping. These connectors offer the fastest and most accurate path to data lineage, impact analysis and other detailed graphical relationships.
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