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 ...

The latest trends in software development from the Computer Weekly Application Developer Network. If Jamie Oliver (other celebrity chefs are available) launched a service named Tastiest Ever Chef, you ...

Models require algorithms and data, and when it comes to data, machine learning models have especially ravenous appetites. Yet, when it comes to transforming data into features consumed by the model, ...

2023 was a year marked by innovation and change in the enterprise technology landscape. Companies of all sizes continue to accelerate their digital transformation efforts and leverage artificial ...

MLOps, short for machine learning operations, is the equivalent of DevOps for machine learning models: Taking them from development to production, and managing their lifecycle in terms of improvements ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...