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TDWI Upside - Where Data Means Business

Do More with What You Have in 2024: 3 Trends for Scrappy Data and Analytics Leaders

In times of tight budgets, you’ll need to find ways to get more from your existing assets. Here are three ways to optimize the value of your data.

How To Prepare Your Organization for AI’s Impact on Data Processes and Products

Here’s what your enterprise will need to benefit from generative AI.

Data Digest: Data Management and Quality

Effectively managing your data, sharing your data across the enterprise, and ensuring data quality.

Data Digest: Data Quality and AI/ML

Why AI needs high-quality data, techniques for improving data quality, and ideas for incorporating ML in the workplace.

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.

Succeeding with Data Governance and Data Quality

Deanne Larson, Ph.D., president of Larson & Associates, discusses data governance and data quality -- including success factors for data governance and which roles are responsible for data quality within an organization.

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