Compliance Data Privacy Data structuring Security 
IBM Big Data Hub
NOVEMBER 29, 2023
With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.
IBM Big Data Hub
DECEMBER 16, 2022
An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.
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Security Affairs
JULY 3, 2023
Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.
eSecurity Planet
APRIL 20, 2023
Vulnerability assessment is the process of finding and analyzing gaps or weaknesses in a network, application, or organization’s IT and security systems. 8 Types of Vulnerability Assessments To obtain a thorough vulnerability assessment of an organization’s security systems and networks, security teams need to test a range of systems.
Collibra
FEBRUARY 18, 2022
.” 2020 Trends in the Data Management, Dataversity. Organizations need metadata management in their data management practice because there is: . Increasing need for data governance, regulatory and compliance requirements and data enablement. Data engineers work with technical metadata and data type standards.
CGI
SEPTEMBER 25, 2018
Persistent privacy powers professional businesses. How a policy of privacy by design sets your business up for the long term. While for some, compliance with the General Data Protection Regulation (GDPR) was business as usual (BAU), for others it represented a huge effort—and a bit of a panic for a minority.
Collibra
NOVEMBER 5, 2020
Where did this data come from? When was this data last updated? How many databases or data sources store this data? Who is using this data? What is the security level or privacy level of this data? Where is this data used & shared? What are the business drivers for using this data?
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