Why MLOps is the key to unlock AI/ML capabilities in your organization

AI and ML are at the fore front of our minds as we are in a very interesting phase in terms of this technology where we are moving from its early days to widespread adoption. There is no doubt that leveraging AI will be a competitive advantage that organizations will flaunt. In this article I wanted to go into why MLOps is the key to unlock AI/ML capabilities in your organization

It will be easier to understand when we take the analogy of DevOps. The concept of DevOps is to enable developers to not only build and deploy applications via automated pipelines but also operate their applications once their applications are in production by providing observability tools to developers.

We would need a similar model for MLOps where engineers working on AI/ML have access to the models that they train their data against and deploy their models. In addition to that, we would need to measure the model’s performance so that we can continuously approve.

To conclude, organizations that invest in getting MLOps along with good data engineering practices will stand to take advantage of the Generative AI boom. Feel free to reach out to us to discuss more about MLOps