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TDWI Articles

Five Value-Killing Traps to Avoid When Implementing a Semantic Layer

When architecting and implementing your semantic layer, consider these issues and take steps to avoid them for more actionable, accurate insights from your data and enhanced user satisfaction.

When Preparing Data for Machine Learning, Avoid These Common Mistakes

Follow these tips to ensure your machine learning training data is the best it can be.

Executive Q&A: How Generative AI Is Changing How We Think About Analytics

Structured enterprise data may just be generative AI’s next breakthrough area. We asked Nima Negahban, cofounder and CEO of Kinetica, to explain how the technology is being used in a variety of industries.

How to Succeed with Unifying DataOps and MLOps Pipelines

James Kobielus, TDWI’s senior research director for data management, discusses the opportunities and challenges associated with enterprise unification of DataOps and MLOps pipelines.

Data Digest: Data Governance, Management, and Security

New data governance regulations in Europe, guidance for master data management, and the importance of cybersecurity in healthcare.

Strategies for Successful Cloud Migration: Lessons from TDWI’s David Stodder

David Stodder, TDWI’s senior director of research for business intelligence, discusses trends and topics in cloud migration and management.

Navigating Data Lake Challenges: Governance, Security, and Automation

Data lakes can save your enterprise money, but they come with their own set of challenges. These tips will help you overcome three of the biggest issues.

How to Succeed with Unifying DataOps and MLOps Pipelines

James Kobielus, TDWI’s senior research director for data management, discusses the opportunities and challenges associated with enterprise unification of DataOps and MLOps pipelines.

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