You want to scale your use of AI, but you are blocked by production issues. Which means that data scientists have to help deploy and maintain their models, which is costl...
Many models created by data science teams never generate value because they never reach production. In the end, data scientists have to help deploy and maintain their mod...
Traditional data analytics has been revamped; this is the age of augmented analytics. Organizations are now making assured, confident decisions without relying on special...
Summary: High stakes models like those that allocate scarce resources to competing hospitals are headline news. New thinking contrasting model-based versus model-free...
Kubernetes is a great system for handling clusters of containers (whether on cloud or on-premise), but deploying and managing containerized applications for ML can be a c...
Summary: Whether trying to predict the life outcomes of disadvantaged kids or to model where ventilators will be most needed, a little humility is in order. As this stu...
I’ve had several folks tell me that if I can’t convert the “effects” in the Schmarzo “Economic Digital Asset Valuation Theorem” into mathematical equation...
In today’s Data Science Central podcast, we will cover, at a high level, the main concepts of AI. We will give examples of what the areas of AI are, including Machine L...
We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in...