Over the last two decades, machine learning has expanded rapidly and exhibited significant potential for creating intelligent and efficient solutions. It has become an essential tool in data science and analytics, with applications ranging from predictive modelling to natural language processing. It is bringing about revolutionary changes in industries ranging from healthcare to finance to entertainment. With this expeditious growth has come the increasing complexity of machine learning models and datasets and the difficulty of developing and deploying them.
Software technologies’ development and deployment process is often an elaborate and challenging task. As with software development, DevOps is a strategy to simplify these complexities, so with machine learning, MLOps has emerged. MLOps is a methodology that streamlines the ML development and deployment process, from data acquisition to model training, deployment, and monitoring.
MLOps is a relatively new field, and its processes are still evolving, resulting in a need for more formalization and standardization. As a result, many MLOps processes are currently being implemented based on intuition and without a well-defined plan. However, we have put down the core principles to be adhered to in a step towards completeness and formalization. These would ensure that the machine learning system hence built has all the essential attributes of successful software, namely:
- Reliability – minimize task repetition and promote the reuse of existing components, models, and data pipelines to save time and resources and improve efficiency.
- Reproducibility – maintain quality, transparency, and trust by ensuring that results can be validated and verified.
- Reliability – ensure the system is fast, stable, accurate, secure, and compliant and can deliver the desired results.
- Scalability – handles increasing volume and complexity depending on the business requirements.
- Modularity – containerize errors, promote quick problem identification and recovery, and enable flexibility.
At goML, we help businesses scale their MLOps efforts by 10X with our Speed & Efficiency enablers. Set up a 30-minute call to understand how we could help scale your MLOps journey.
