Model drift occurs when the accuracy of insights, especially from predictive analytics, is significantly different from the insights derived during the model's training and deployment periods.

MLOps combines the disciplines of data engineering, machine learning, and DevOps, enabling the streamlined deployment and management of machine learning models at scale.

MarkLogic Corporation, the provider of the unified data platform for complex data and metadata management, is unveiling the latest features in its MarkLogic 11 update. Focusing on analytics, ...

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle ...

Advances in AI will lead to a surge in 2024 spending, according to Market Survey Forecast of IT professionals TORONTO — For the second consecutive year, there continues to be a growing concern over ...