iTuring MLOps: Machine Learning Operations
Deploy, monitor, and govern machine learning models and enable AI at scale.
Bring DevOps like agility to Machine Learning.
Research shows that only 15% of data science projects make it to production because they are so hard to deploy, and it is hard to demonstrate tangible value. Often, once AI models are deployed and face changes in real world data, they make inaccurate and unreliable predictions that negatively impact business. Complex deployment processes and legacy architecture makes retraining and redeployment of models a bigger challenge.
MLOps allows organizations to enable AI applications at scale.
MLOps for every business
With CyborgIntell, machine learning projects can be easily and automatically deployed in complex production environments in a few clicks, irrespective of where they were built. Predictive accuracy and business value is measured and improved on an ongoing basis and using CI’s Dynamic AI, models adapt to constantly changing conditions, ensuring you get the ROI you are looking for.