MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

MLOps, a compound of "machine learning" and "information technology operations," is a newer discipline involving collaboration between data scientists and IT professionals with the aim of productizing ...

Last year, organizations around the world, across all industries, were forced to leverage new technologies on multiple fronts to accommodate a new normal. The adoption of AI and machine learning saw ...

For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used ...

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and cross-cloud failover. By ...

Cloudera is betting that it can fuel future growth by becoming critical to deploying, managing and governing machine learning models across enterprises and industries. The company said its Cloudera ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Simplilearn, a global leader in digital upskilling, in collaboration with UC Santa Barbara Professional and Continuing Education (UCSB PaCE), has launched the Professional Certificate in AI and ...

Office can now suggest better phrases in Word or entire replies in Outlook, design your PowerPoint slides, and coach you on presenting them. Microsoft built those features with Azure Machine Learning ...