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With recent advances in generative AI we expect data to grow significantly in the next few years. It is estimated that the volume of data created and consumed will reach 180+ zetabytes by 2025. Growing data volumes and the prevalence of data silos can be a bottleneck to timely delivery of data...
Authored with multiple collaborators in IBM Research and Product Management In today’s data-driven business environment, organizations are increasingly encountering a multitude of obstacles to unlocking the full potential of their data. Chief among them is the challenge of data...
Today is an exciting milestone for IBM Knowledge Catalog with our latest software release, now generally available. Through 2023, our focus was on delivering value for our clients looking to IBM Knowledge Catalog who were most familiar with IBM InfoSphere Information Governance Catalog and...
Financial institutions are obliged to comply with an extensive set of privacy, financial reporting and capital adequacy regulations such as FINREP, Basel/BCBS 239, GDPR, and CCPA. However, the competing demands on resources impair the efficient management of these regulatory requirements. It is,...
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If you don’t know what sensitive data your organization has or who can access it, you run the risk of failing to meet data privacy regulations. It is imperative for organizations to establish an effective governance framework to better understand a data set’s journey from its origin to its end...
In this presentation, we discuss how integrating a data management and a data protection solution provides unified access control across multiple data sources in a hybrid cloud environment. The demo demonstrates how this integration is implemented using IBM Data and AI’s Watson Knowledge Catalog...
Chat with Lab Enforcing IBM Watson Knowledge Catalog data protection policies off-platform with IBM Guardium Da-20230712 1454-1.MOV
We are happy to announce the release of version 4.7 of IBM Cloud Pak for Data and with it, IBM Knowledge Catalog coming June 28. Cloud Pak for Data is designed to help our clients implement a data fabric architecture that serves as a foundation for our recently announced IBM watson x ...
Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. However, as data...