Defining the Differences between MLOps, ModelOps, DataOps & AIOps

With the rise of artificial intelligence, machine learning and big data, organizations have become increasingly aware of the importance of MLOps (Machine Learning Operations), ModelOps, DataOps, and AIOps. Through this blog post, we will discuss the differences between these various approaches in order to better understand their individual roles within an organization. We then explore how Machine Learning, Model Management and Data Infrastructure intersect in MLOps. Finally, we discuss both the benefits and challenges when it comes to implementing these operations systems. MLOps, ModelOps, DataOps and AIOps are rapidly growing in importance as organizations look to leverage the power of artificial intelligence, machine learning and big data.