Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Amir Langer discusses the evolution of ...

SANTA CLARA, CA - April 13, 2026 - - As machine learning becomes integral to modern digital products, the demand for professionals skilled in MLOps (Machine Learning Operations) continues to rise. In ...

Digital infrastructure is expected to run at near-zero latency, adapt instantly to shifting workloads, and remain secure ...

Opinions expressed by Digital Journal contributors are their own. In the rapidly changing field of artificial intelligence (AI), the infrastructure supporting these advanced systems often goes ...

Netflix has introduced a significant enhancement to its Metaflow machine learning infrastructure: a new Config object that brings powerful configuration management to ML workflows. This addition ...

A Sankey diagram illustrating the research landscape of machine learning applications in post-disaster infrastructure recovery. The diagram shows the relationships between machine learning approaches ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.