With the unstoppable rise of Artificial Intelligence, organisations are faced with an urgent question: how can they ensure that AI models are designed, deployed and used in an ethical, traceable and compliant manner? The answer lies not only in MLOps tools, but also in having a robust framework for governance that integrates people, processes and technology.
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Compliance with data protection regulations, such as the European Union's General Data Protection Regulation (GDPR), is a key challenge for modern organisations. These regulations require, among other things, keeping records of data processing activities up to date, ensuring traceability, conducting impact assessments and demonstrating compliance. The complexity of this task increases considerably if adequate tools are not available.
Controlled democratisation of data is a goal pursued by many organisations, but achieving it depends on many factors.
DAMA establishes a compilation of best practices for data management, highlighting two concepts: Data Governance and Data Management. However, these two concepts must be differentiated because they involve a separation of functions between supervision and execution.
From Anjana Data, in collaboration with Aqtiva, We have developed an article which includes the keys to supervise the correct management of data quality in organisations through Data Governance. The two solutions are the perfect tandem thanks to the existing synchronisation mechanisms and the functionalities they provide together.
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How to build a Data Marketplace based on Data Sharing Agreements and Data Fabric technology with Anjana Data and Denodo
How our customers are achieving different business objectives related to Data Governance and Analytics by implementing Anjana Data
GARTNER® Quick Answer: How are organisations overcoming the challenges to start their Data Fabric or Data Mesh?
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