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. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

JUNE 28, 2023

We are at an inflection point, where we have witnessed 100,000-fold reduction in cost since the human genome was first sequenced in 2001. Today, the rate of data volume increase is similar to the rate of decrease in sequencing cost. gene expression; microbiome data) and any tabular data (e.g.,

Informatics 67

Informatics Consulting Cost-Benefit Data Architecture 67

Jet Global

AUGUST 25, 2020

BI is the collection of technologies, applications, and practices that allow a company to analyze incoming business data and produce useful, strategic insights. CPM is not a strategy itself. The term originated with Gartner, the global research and advisory firm , back in 2001. Reconfigure their overall strategy.

Software 96

Software Metrics Finance Key Performance Indicator 96