O'Reilly on Data

NOVEMBER 28, 2023

Difficulty finding appropriate use cases is the biggest bar to adoption for both users and nonusers. We see plenty of room for growth, particularly as adopters discover new use cases and reimagine how they do business. What use cases are appropriate, and what aren’t? Many AI adopters are still in the early stages.

Enterprise 269

Enterprise Modeling Testing Reporting 269

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Some vendors showcased their customer use cases. and dig into details about where science meets rhetoric in data science. Of course!!”

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

MAY 31, 2022

The IT industry broke it into three categories to help better define use cases. Instead of installing software on your own servers, SaaS companies enable you to rent software that’s hosted, this is typically the case for a monthly or yearly subscription fee. In both cases, the return on investment (ROI) is healthy.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. In either case, there’s a difference between “trends” and “trendy.” This study is based on title usage on O’Reilly online learning. Methodology.

Machine Learning 363

Machine Learning Software Testing Technology 363