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TDWI Upside - Where Data Means Business

Practical Data Science


Artificial Intelligence Versus the Data Engineer

Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering.

Our Cloud Migration Story: Challenges Faced and Lessons Learned

Moving to the cloud brings numerous benefits, but there are challenges you must overcome. Here is one company’s experience.

Lessons Learned from Facebook’s Poor AI Implementation

AI implementations will be more successful if you follow these three tips.

Real-World Techniques for Machine Learning with David Langer

David Langer discusses four easy-to-learn, state-of-the-art, real-world techniques that will help you get value from machine learning.

How to Find the Right AI Solution: 3 Innovative Techniques

AI is such a unique technology that traditional approaches -- including RFPs -- aren’t likely to help you find the best AI solution to solve your problem. We offer three innovative approaches that may deliver better results.

Harnessing the Decision-Making Power of Prescriptive Analytics

Exploring the transformative power of data-driven decision-making and seven steps to help you implement prescriptive analytics.

Machine Learning and AI with Keith McCormick

From machine learning and transparency to unstructured data and career advice, data scientist Keith McCormick shares his insights on what’s worth paying attention to in the world of AI.

What Generative AI Means for Data Jobs

The technology-will-steal-your-job narrative has been around for at least 200 years. Some roles do disappear, but most simply evolve, adapt, and merge.

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