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Data Digest: Governing Citizen Data Science, Improving Internal Security, Understanding Privacy

Manage your citizen data scientists, teach cybersecurity practices, and be ready for the next round of privacy regulation.

Data Stories: Daylight Saving, Global Weather, and Air Conditioning

These maps show how daylight saving time affects actual daylight, what the weather is like on the other side of the world, and where you can live without air conditioning.

Timeline of an Agile Data Environment: A Detailed View (Part 3 of 3)

In the last part of our series, we examine the detailed activities of an analytics team before, during, and after a sprint. You can compare your team’s work flow to the activities list in this article to see opportunities to become even more agile.

3 Keys to Building an Agile, DevOps-Powered Analytics Environment (Part 2 of 3)

Working with data requires adaptation of many traditional agile techniques. How do we put agile practices and DevOps tools to use for analytics and data science projects?

Data Digest: AI Mistakes, ML Code Problems, Accurate Predictions

Being aware of the limitations of modern techniques can help you avoid pitfalls in AI, machine learning, and data science.

Best Practices for Building an Agile Analytics Development Environment (Part 1 of 3)

Creating an agile analytics development environment is about much more than just tools. It is a combination of culture, practices, and tools that enable high productivity, high data quality, and maximum business value.

CEO Q&A: Why AI Is In Your Analytics Future

Thoughtspot CEO Sudheesh Nair explains why AI is the single most important emerging technology -- and why it's not enough for your success.

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