TDWI Upside: The Source for All Things Data & Business Analytics
TDWI Upside
Upside delivers timely, relevant, actionable information about transforming data into intelligence, insight, and impact in your enterprise.
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By Upside Staff
Take a few minutes for a different kind of text analysis: using machine learning, psychology, and ink to look at fonts.
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By Upside Staff
Principles for ethical AI, avoiding bias in text analysis, more data ethics courses available.
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By Upside Staff
Data visualizations can show the changing seasons by mapping changes in temperature, weather, plants, and animals.
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By Brian J. Dooley
Higher education is beginning to practice what it preaches -- teaching and using analytics for its own benefit. Here's how one university ventured in this new direction.
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By Upside Staff
Understanding data in a lake, why data lakes are moving to the cloud, and how to stay ahead of modern cloud security.
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By Upside Staff
Planning strong data governance, securing connected devices, and using machine learning for security.
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If your enterprise is considering adopting digital twins, the best advice may be to start simply.
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Streaming and message queuing have lasting value to organizations and may soon become as prevalent as ETL is today.
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Six common pitfalls for busy data management teams.
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Data ops applies agile and collaborative techniques to data delivery to align various and often far-flung data deployment tasks.
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A data warehouse is more than a storage repository. Don't lose sight of the benefits a traditional warehouse provides.
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By Upside Staff
Find out whether you need a data scientist, how to support citizen data science, and how competition can inspire data science.
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By Upside Staff
Adopting a new machine learning algorithm, defining what kind of machine learning experience you need, and how modern astronomy is using machine learning.
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By Jonathan Fowler
In the final part of our series, we look at the characteristics of a data-centric culture and how to adopt such a culture in your own enterprise.
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By Jonathan Fowler
To become a data-centric enterprise, you must first recognize what counterproductive behaviors you'll need to eliminate.
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By Jonathan Fowler
Implementing a BI program without a data-centric culture is bound to disappoint users and waste resources.