Research shows that only a very small amount of companies manage to make profit from AI. The main reason for this is, that companies fail in moving ML from POC stage to operationalized stage. MLOps is a set of processes, methodologies and tools that enables companies to safely and quickly develop, test, deploy, monitor and operate ML models. MLOps helps organizations to overcome the experiment production gap and to integrate AI usage into daily business.
Value proposition
AWS is the leading cloud provider with a continuously increasing number of ML and Software Development services.
DXC has an extensive track record in Machine Learning and MLOps projects and a dedicated center of excellence on MLOps and various Machine Learning fields.
AWS and DXC jointly developed the DXC MLOps Quickstart solution on AWS that is:
- built from native AWS services
- is quickly deployable
- fully customizable
DXC Analytics offers a large portfolio in performed Machine Learning and Data Science usecases and has a proven track record in building intelligent applications.
Differentiators
- The solution is approved by AWS
- The solution is field proven
- The solution is quickly deployable and project-wise extendable
- DXC has many references in MLOps
- DXC already positioned itself in the MLOps domain early on
- The solution is not “yet” another MLOps platform but purely built from AWS native services.
Speakers: Kaloyan Kanev (DXC) - Global Lead AI Practice and Offering Owner MLOps
