Demystifying ML/AI

Everyone is talking about AI/ML but what do you really need to know. We will develop and run a workshop for you and your employees that puts AI/ML in perspective for your organization. We use simple language, case studies and interactive exercises to demystify and educate.

ML OPS Design

While there is not a singular approach to deploying and maintaining an ML model, there are broad issues that all organizations should be aware of as they enter this phase. 

The importance of viewing AI from a systems and software perspective that acknowledges data as a core part of how the model performs is imperative. As data plays such a significant role in the performance of the model, the hygiene and correctness of a training data set is critical. Therefore continuous hygiene and active review of data is crucial to your ML and AI initiatives. Let us help you develop a MLOps and ML Life Cycle monitoring plan.