2011, Business Intelligence, Deep Learning and Risk

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Fun fact: in 2011 Google bought remnants of what had previously been Motorola. a second priority?at

Data Governance

Data Governance Machine Learning Metadata Big Data

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. A typical data pipeline for machine learning. Use ML to unlock new data types—e.g.,

Machine Learning

Machine Learning Technology Deep Learning Data Science

Data Leaders Brief

Themes and Conferences per Pacoid, Episode 8

Becoming a machine learning company means investing in foundational technologies

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