The world has looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying MLOps with a powerful, extensible, low barrier to entry platform that instantiates the data analytic process as high-level code.
Striveworks is trusted by leading Fortune 500 firms and leaders in the public sector to be their primary solution for managing model development, monitoring, and governance, and for ensuring that those models solve the real challenges their organizations face.
Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track both the “upstream” provenance of model and data sources and also the “downstream” usage of the resultant model inferences. Combining this with a highly principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant MLOps platform.
Were #hiring individuals looking for #AIjobs and #MLjobs. If you are looking to work with cool tech stacks and languages like #GO, #kubernetes, etc and are generally interested in the world of data science, please take a look at our job openings: www.striveworks.com/careers
