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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution. There must be a concerted effort to make these principles a reality through consideration of the functional and non-functional requirements in the models and the governance systems around those models.

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

While not the first , it is the largest penalty levied since the GDPR went into effect in May 2018. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage. Given this, Oppenheimer & Co. How erwin Can Help.

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Data Governance Makes Data Security Less Scary

erwin

percent of its global annual revenue, because 330 million hotel guests were affected by a breach in 2018. The Regulatory Rationale for Integrating Data Management & Data Governance. Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field.

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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

Cloudera Enterprise is a one-stop shop for running analytics models and algorithms against multiple data sources across on-premises and cloud, and sometimes real-time data sources. Now Tech: Big Data Fabric, Q2 2018. ** The Forrester Wave : Big Data Fabric, Q2 2018. Shared Data Catalog to preserve context and enforce Governance.