Artificial Intelligence, Citizen Data Scientist and Data Pipeline

How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

MAY 20, 2024

But trust isn’t important only for executives; before executive trust can be established, data scientists and citizen data scientists who create and work with ML models must have faith in the data they’re using. Your data scientists, executives and customers will thank you!

Machine Learning

Machine Learning Machine Learning Data Scientist ML

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations.

Analytics

Analytics Analytics Data Preparation Augmented Analytics

The Modern Data Stack Explained: What The Future Holds

Alation

JANUARY 17, 2023

As data science is growing in popularity and importance , if your organization uses data science, you’ll need to pay more attention to picking the right tools for this. An example of a data science tool is Dataiku. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data.

Data Warehouse

Data Warehouse ETL Tableau Cloud Data

Data Science Current

How to establish lineage transparency for your machine learning initiatives

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

The Modern Data Stack Explained: What The Future Holds

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