ML focuses on developing algorithms and models that enable computer systems to learn from data and make predictions or decisions based on that data. While MLOps applies DevOps principles to the ML lifecycle and also involves automation and orchestration of the ML workflow from data preparation and model training to deployment and monitoring.
Dimiour’s ML algorithms can help your business make data-driven decisions by analyzing large amounts of data and identifying patterns and trends. And our MLOps ensure that the ML models are up-to-date, accurate, and reliable, enabling businesses to make more informed decisions.
Additionally, our ML algorithms can help personalize products and services to meet your customer’s individual needs and preferences. MLOps can ensure that the ML models are trained on the latest data and deployed promptly and efficiently.
