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TDWI Upside - Where Data Means Business

Leading-Edge Analytics


Data Digest: Analytics Applications, Improving Data Literacy and Data Science Skills

Problems companies want to solve with analytics, the importance of data literacy in government, and teaching data science to kids.

Beyond Spreadsheets: How Data-Driven Organizations Outperform the Rest

These four best practices can help you successfully build a data-driven organization.

Data Digest: Working in the Cloud

How DBAs can adapt to work in the cloud, the importance of real-time cloud data, and the benefits of industry cloud platforms.

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.

Five Pillars for an Effective FinOps Program

For many enterprises, managing cloud spending is their top cloud challenge. How can you optimize the existing use of the cloud in your enterprise while reducing costs? FinOps may be the answer.

Achieving Success with Modern Analytics (Part 2 of 2)

Teresa Letlow, SVP Global Cloud Alliances at StreamSets, and Jason Yeung, VP NA Center of Excellence, BTP at SAP, share their thoughts and insights about achieving success with modern analytics.

Achieving Success with Modern Analytics (Part 1 of 2)

Fern Halper, TDWI’s vice president and senior director of research for advanced analytics, discusses her recent TDWI Best Practices Report on achieving success with modern analytics -- including exciting use cases and common challenges organizations need to overcome.

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