The digitalization of the Finance Industry has exploded. In a sea of unstructured and semi-structured data, there are new challenges in achieving meaningful predictions and key driver insights to inform business decisions. What's more, all paths to try and identify the right signals are not always apparent. It takes a lot of experimentation and problem-framing approaches, but traditional frameworks make it difficult and expensive, especially at scale. Attend this session with Freddie Mac to learn how they've modernized their AI and ML infrastructure to be able to shrink the MLDev and deployment cycle, to rapidly deliver meaningful value to the business.