Why Best-Of-Breed ML Monitoring and Observability Solutions Are The Way Forward

The article discusses the importance of best-of-breed ML monitoring and observability solutions in managing machine learning models. It emphasizes that model failure can have significant impacts on a company's revenue, public relations, and user safety. To handle these challenges, an effective ML observability and model monitoring platform is required to understand what's happening inside the model as it runs. The article also highlights two general types of machine learning monitoring and observability solutions: best-of-suite and best-of-breed platforms. While best-of-suite systems attempt to cover end-to-end visibility, they may not have a feature set to cover every possible use case. On the other hand, best-of-breed ML platform solutions focus on providing highly specialized tooling for specific use cases and can be interoperated together to take advantage of their strengths while avoiding their weaknesses. The article concludes by stating that best-of-breed monitoring and observability solutions are ideal for companies that take their AI investment seriously, as they provide valuable insights into the performance of machine learning models without requiring significant time or financial investments.