DataRobot

AUGUST 16, 2021

AI researchers and academics have proposed over 70 metrics that can each define bias by pinpointing how an algorithm treats different groups represented in a dataset differently. Deciding what bias metric is most relevant requires a contextual interpretation of a use case. White Paper. Data Literacy for Responsible AI.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

DataRobot

OCTOBER 20, 2021

The distinction between various data roles: Understanding data roles (i.e., data engineers, data scientists, machine learning engineers, etc.) WHITE PAPER. Data Literacy for Responsible AI. The post Responsible AI Relies on Data Literacy appeared first on DataRobot | AI Cloud. Download Now.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Jet Global

APRIL 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. our measurement strategies 2. what to focus on priorities 3. success measures.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. Let them do what they want outside of the application.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52