Flip the Plan: Fast-Track Your AI/ML Model Integration with a Back-to-Front Implementation Strategy
"How quickly will you be able to get this model into production?" is a common question in analytical projects. Often, this is the first time anyone considers the complexities of deploying models within enterprise systems.
This talk introduces an approach to enhance the success rate of complex AI/ML integration projects while reducing time-to-market. Using examples from global banks J.P. Morgan and ING, we will demonstrate team organisation and engineering patterns to achieve this.
This talk is ideal for data scientists, engineers, and product managers interested in adopting an efficient Model Development Lifecycle (MDLC).