A panel of experts discuss how to professionalize the data science discipline.

Data science can make robotic process automation more intelligent. Robotic process automation make it easier to deploy data science models in production.

Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced the addition of one-click model deployment a ...

KNIME unveils Continuous Deployment for Data Science to disseminate data insights at scale at annual Spring Summit in Berlin, April 17 - 19.

Lawrence Livermore National Laboratory is expanding its deployment of Anthropic's Claude for Enterprise to its entire ...

How data scientists and IT build and deploy their models into production today is a reflection of the way big data and data science has grown and evolved throughout the years. According to a ...

There’s a ton of innovation occurring within the realm of data science at the moment thanks to a blossoming of machine learning technologies and techniques. But much of that innovation isn’t getting ...

Machine learning brings a new dimension to DevOps. Along with developers, operators will have to collaborate with data scientists and data engineers to support businesses embracing the ML paradigm.

Domino Data Lab today announced new integrations with Nvidia to help enterprises accelerate model development and deployment.

Pecan AI said it can automate this process to ensure its models retain their high level of predictive accuracy without the need for specialist data engineers.