2011, Business Intelligence and Deep Learning

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

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

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. We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks.

Data Governance

Data Governance Machine Learning Metadata Big Data

Data Leaders Brief

Becoming a machine learning company means investing in foundational technologies

Themes and Conferences per Pacoid, Episode 8

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