Experimentation, Predictive Modeling and Uncertainty

How to Set AI Goals

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable. There’s a lot of overlap between these factors. automated retirement portfolio rebalancing and maximized ROI).

Cost-Benefit

Cost-Benefit Advertising ROI Machine Learning

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

SEPTEMBER 11, 2019

But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering. If anything, this focus has shifted to the ML or predictive model. In the third place, there’s uncertainty about what to do with all of this data.

IoT

IoT Big Data Data Warehouse Uncertainty

Data Leaders Brief

How to Set AI Goals

Topics to watch at the Strata Data Conference in New York 2019

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