Seeq Corporation announced the expansion of its efforts to integrate machine-learning algorithms into Seeq applications, which promises to enable organizations to operationalize their data-science investments, and their open-source and third-party machine learning algorithms for easy access by front-line employees. Seeq’s strategy for enabling machine-learning innovation provides end user access to algorithms from a variety of sources, rather than forcing users to rely on a single machine learning vendor or platform. This addresses the diversity and types of algorithms available to organizations, including: Open-sources algorithms and other public resources. For example, this week Seeq will publish two Seeq Add-ons to GitHub, including algorithms and workflows, for correlation and clustering analytics, which users can modify and improve based on their needs.
Veranese Promoted to CEO of AMI
With the continued growth and evolution of Advanced Manufacturing International, Inc. (AMI), the