Session Outline
Applying machine learning at a scale for large organizations requires considering a plethora of challenges. They vary from adhering to evolving local data processing & AI restrictions, to leveraging on advanced capabilities from recent developments and pretrained models, to maintaining a robust CD4ML solution for various AI use cases, all in an environment where maintaining talented AI workforce is a challenge. In this talk, we discuss these items, as we go through the process of designing the machine learning pipeline best suited to your organization.
Key Takeaways:
- High level trends in the domain of MLOps.
- The important role of low-code & AutoML elements in a current AI workforce ecosystems.
- Exploring the extent to which an orchestrated pipeline can go.
