Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

O'Reilly on Data

MAY 21, 2019

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., Use ML to unlock new data types—e.g., images, audio, video. images, audio, video.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

datapine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

MAY 17, 2021

As we mentioned at the beginning of this article, the big data industry has shown exponential growth in the past decade. Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161