MLOps can help overcome risk in AI and ML projects - Dataconomy

Aleksandar Kovačević, Sales Engineer at InterSystems, shares how companies use MLOps combined with a central multi-model database to get the most out of their machine learning initiatives. Artificial Intelligence (AI) and Machine Learning (ML) are hot topics at the moment. But when it comes to producing quantifiable results, there is still a lot of work to be done. How can MLOps, which merges machine learning with operations (procedures and processes), help to make ML projects more successful? There is no doubt that Machine Learning and Deep Learning offer a lot of potential.