Dataiku Upgrades Enterprise AI Platform

Seeking to help enterprises fully embrace AI, Dataiku announced an upgrade to its namesake software platform.

Dataiku, a five-year-old data science and advanced analytics specialist headquarterd in New York, said the new release will enable scalable enterprise AI.

The company called out three main new features in its release of Dataiku 5: expanded containerization capabilities; a new deep learning library; and more comprehensive documentation.

Docker and Kubernetes containerization functionality, which had been introduced in a previous release, were given a boost in Dataiku 5, which enables in-memory processing of Python and R recipes for optimized resource usage.

"When individuals need to run in-memory jobs, Dataiku will create a Docker image containing the code and required libraries or packages, and automatically deploy it to a Kubernetes cluster," said the company's Pauline Brown in a Sept. 12 blog post. "Kubernetes will then take care of job orchestration and execution where cluster resources are available, thus bringing computation elasticity (and thus saved resources) and power to both the users ... and to the machines."

On the deep learning front, Keras, an open source neural network library written in Python, has been added to the platform's libraries and technologies. Also, the TensorFlow library has been added to the platform's Visual AutoML Interface, which reportedly allows both beginner and expert users to more easily leverage deep learning.

"Users can now define the architecture of their deep learning models directly from the Visual Machine Learning Interface," Brown said. "From there, Dataiku will automatically handle data preprocessing, and model training, deployment, versioning, rollback, and monitoring."

Platform documentation received a boost with the addition of group discussions, wikis and personalized project home pages, which the company said takes collaboration from a team-centric focus to a large-scale, organization-wide approach.

More information on the above and many other new features can be found in the release notes.

About the Author

David Ramel is an editor and writer for Converge360.