Feedback should drive data visualization improvements, machine learning model recalibrations, data quality increases, and data governance compliance. Defining an agile process for data science and ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

What drives AI and ML projects is not programmatic code, but rather the data from which learning must be derived. What is needed is a project management methodology that takes into account the ...

From planning to development to management to security, at CA Technologies we create software that fuels transformation for companies in the application economy. By Ayman Sayed, President and ...

Gartner’s Magic Quadrant for data science and machine learning platform 2021 includes AWS, Google, Microsoft, IBM, SAS MathWorks, Databricks, Alteryx and H2O.ai.

“The Agile BioFoundry’s objective is to develop and deploy technologies that enable commercially-relevant biomanufacturing, including using advanced machine learning methods in non-model microbes.