dotData, a provider of full-cycle data science automation and operationalization for the enterprise, is releasing dotData Stream, a new containerized AI/ML model that enables real-time predictive capabilities for dotData users.
"We are seeing an increasing demand for real-time prediction capability, which has become an essential necessity for many enterprise companies. dotData Stream allows our customers to leverage AI/ML capability in a real-time environment," said Ryohei Fujimaki, Ph.D., founder and CEO of dotData.
dotData Stream was developed to meet the growing market demand for real-time prediction capabilities for use cases such as fraud detection, automated underwriting, dynamic pricing, industrial IoT, and more.
dotData Stream performs real-time predictions using AI/ML models developed on the dotData Platform, including feature transformation such as one-hot encoding, missing value imputation, data normalization, and outlier filter.
Its deployment is as easy and simple as launching a docker container with AI/ML models downloaded from the dotData Platform with just one click.
An end-point for real-time predictions becomes immediately available. In addition, dotData Stream can run in cloud MLOps Platforms for enterprise AI/ML orchestration or at the edge servers for intelligent IoT applications.
dotData provides AutoML 2.0 solutions that help accelerate the process of developing AI and Machine Learning (AI/ML) models for use in advanced predictive analytics BI dashboards and applications.
dotData makes it easy for BI developers and data engineers to develop AI/ML models in just days by automating the full life-cycle of the data science process, from business raw data through feature engineering to implementation of ML in production utilizing its proprietary AI technologies.
dotData's AI-powered feature engineering automatically applies data transformation, cleansing, normalization, aggregation, and combination, and transforms hundreds of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects that are fundamental to developing predictive analytics solutions.
dotData democratizes data science by enabling BI developers and data engineers to make enterprise data science scalable and sustainable.
The platform is also designed to operationalize AI/ML models by producing both feature and ML scoring pipelines in production, which IT teams can then immediately integrate with business workflows. This can further automate the time-consuming and arduous process of maintaining the deployed pipeline to ensure repeatability as data changes over time. With the dotData GUI, AI/ML development becomes a five-minute operation, requiring neither significant data science experience nor SQL/Python/R coding.
For more information about this release, visit www.dotdata.com.