Fast and simple deployment of standard ML Models for industry use cases. Leverage Cloud Machine Learning services and infrastructure for industrialized, robust ML Pipelines. DevOps for Machine Learning for improved productivity and cost efficiency with auto-scaling on-demand computational resources. Seamless plug and play deployment. Usage of best-in-class open-source frameworks such as Sci-kit Learn, TensorFlow, Spark, etc.
Implement robust, industrialized ML pipelines with our verified professional expertise. In depth use case analysis and the best performing model and algorithm selection.
Seamless Cloud Native integration of your Data Lake, powering your Machine Learning needs. Leverage Spark, DWH, and ETL pipelines for continuous model training.
Improve productivity and cost efficiency through DevOps for Machine Learning. Automated scalable infrastructure using Cloud optimized ML services.
Managed ML Cloud services for rapid building, training, and deployment of models. Solution implementation with pre-trained models for standard use cases.