San Antonio, TX -- Quickpath announced today, the general availability of its new ML OPS and Engineering Platform. The platform streamlines the deployment of machine learning to support the full production lifecycle unlike any other solution available today.
“We have seen firsthand the challenges of operationalizing machine learning. That is why we are so excited at the announcement today. Quickpath offers the only production data science platform that supports the capabilities needed for companies to scale their data science teams”, said Alex Fly, CEO of Quickpath. “There has been too much focus on machine learning frameworks and algorithms and not enough on machine learning operations. That is where the opportunity is for us to help companies succeed at actually using AI and machine learning at scale.”
The Quickpath Platform streamlines the process of bringing data, machine learning models, and decisioning together. Data scientists collaborate with data/ML engineers and IT operations within a drag-and-drop interface to design model-based decisioning.
It scales on companies preferred infrastructure. Be that a public cloud, private cloud, on-premises, or in containers, Quickpath supports them without introducing new deployment infrastructure.
The Quickpath Platform enables data science teams to spend more time on ML model development and strategy and less on the mechanics and operations of deploying ML into the production environment.
Quickpath enables data science teams to operationalize machine learning across the organization and streamline the path to production. The Quickpath ML OPS and Engineering Platform is the only comprehensive production data science solution in market today.
With nearly two decades of deep predictive modeling and machine learning industry expertise, Quickpath has produced more than 100 successful implementations for Fortune 500-1000 companies. To learn more about Quickpath, visit www.quickpath.com.