TDWI Upside - Where Data Means Business

Data Digest: Hiring and Getting Hired as a Data Scientist

Tips for interviewing a data scientist, preparing for an interview, and which skills to learn.

iPaaS: A Response to New Business and Technology Requirements

Users migrating data and applications to the cloud need richer cloud-based integration toolsets such as those in integration-platform-as-a-service (iPaaS).

Can Automation Accelerate Machine Learning Programs?

Auto ML is a powerful concept for the next generation of AI tools. It's part of a general movement to extend AI-based automation to data science.

Data Digest: Too Much Data, Big Data for Safety, Choosing Machine Learning

Why you shouldn’t collect data without a plan, how big data will be used for traffic safety, and how to find a quality machine learning solution.

Data Stories: Historical, Political, and Regional Religious Trends

These charts show the spread of world religions, political trends among religious leaders, and smaller religious populations.

3 Fundamental Steps for Strong Big Data Security

If there's one thing we know for sure about technology, it's that innovation moves fast, but frequent innovation can be problematic for security -- especially for big data platforms.

Data Digest: Analytics Careers, Data Science Skills, Helpful Podcasts

Analytics careers outside data science, the skills data scientists need, and the best podcasts about data science and analytics.

New Architectures and Enhanced Roles for IT

The current explosion of data and tsunami of analytics make this the perfect time to re-evaluate the measures you think are vital in your enterprise.

Machine Learning: From "In Vogue" to "In Production"

What is happening now in machine learning is very much like the homebrew computer movement from a half-century ago.

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