Dataiku announced that it would be launching in the AWS marketplace, enabling the AWS customers to use Dataiku’s visual interface to build various AI and machine learning tasks. The users will be able to prepare data, data pipelines, and build and deploy machine learning models on the cloud.
Anyone who possesses an AWS account can leverage the leading AI and machine learning platform, Dataiku, for elastic cloud computing. The enterprise had made the usage more flexible for the ones starting in AI and machine learning by removing the barrier of contracts or legal issues.
“We believe that every company, no matter how large or small, can benefit from AI/ML products like ours; launching in AWS Marketplace only makes that easier,” said Florian Douetteau, CEO of Dataiku. “Now, more organizations will be able to leverage AI to automate key business processes, allowing customers to make smarter, faster decisions and deliver better customer experiences.”
Developers who use Dataiku through AWS will have coherent access to stored data on AWS and read and write an entry to Amazon Simple Storage Service (Amazon S3) and managed SQL services. Users can take advantage of this entry to scale data pipelines and machine learning processes by grasping compute clusters like Amazon Elastic MapReduce (EMR) and Amazon Elastic Kubernetes Service (Amazon EKS) through visual components or a coding language. Not only that, but the developer can have access to connect, transform, visualize and analyze datasets with Amazon Redshift with visual recipes or custom SQL code.
The elastic integration of Dataiku takes advantage of the cloud computing resources to enable automatic computing for the data preparation, model building, and model scoring jobs orchestrated on Dataiku. Customers can also easily access the AWS Machine Learning Services for the smooth inclusion of computer vision or text analytics into Dataiku projects.