TigerGraph, a producer of a graph analytics platform for data scientists, unveiled its TigerGraph ML (Machine Learning) Workbench today at the Graph & AI Summit.
The workbench is a next-generation toolbox that ostensibly will help analysts to increase ML model accuracy and decrease development cycles. Workbench accomplishes this by combining common tools, workflows, and libraries in a single environment that connects to current data pipelines and machine learning infrastructure, according to TigerGraph.
ML Workbench is compatible with TigerGraph 3.2 and higher, and is available as a fully managed cloud service as well as on-premises. ML Workbench, which is now accessible as a preview, will be broadly available in June 2022.
The platform covers e entire enterprise technology space- including emerging technologies like RPA, AI, cloud, automation, and the entire gamut of digital transformation tools, strategies and management decisions.
