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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.

Modern Hiring Trends: Salary Negotiations and Pay Transparency

It's a challenge to find someone you want to hire, but once you find them, you still need to close the deal. Salary will be a major factor in your negotiations.

Data Digest: Machine Learning and AI in Science, Finance, and Hiring

Pitfalls in using machine learning for scientific study, applications for AI in investment, carefully using AI in hiring.

Data Stories: Highest Earners, Wealthiest People, Biggest Companies

See what jobs pay the most, how much the top earners make around the world, and how the top companies have changed in ten years.

U.K. Parliamentary Committee Hammers Facebook on Digital Privacy

Facebook is on the hot seat again with another data privacy PR problem.

Data Digest: Augmented Analytics, Embedded BI, Citizen Data Science

Democratizing and embedding analytics capabilities is a growing trend, as these articles explain.