2010, Data Integration and Data Strategy

Themes and Conferences per Pacoid, Episode 8

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. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though More Policies Emerged” (2010-2018).

Machine Learning

Machine Learning Data Governance Metadata Data Science

Trade routes of the digital age: How data gravity shapes cloud strategy

CIO Business Intelligence

APRIL 15, 2025

In the digital world, data integrity faces similar threats, from unauthorized access to manipulation and corruption, requiring strict governance and validation mechanisms to ensure reliability and trust. Moreover, the very nature of supply and demand forced manufacturers to rethink how they produced and delivered goods. The lesson?

Strategy

Strategy Data-driven Manufacturing Risk

Data Leaders Brief

Themes and Conferences per Pacoid, Episode 8

Trade routes of the digital age: How data gravity shapes cloud strategy

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