DecisionOps: Utilizing collaborative tools and techniques that accelerate model development
A mentor of mine once said, “Your model provides no value until it’s in production and making decisions. Until then it’s simply a cost.” These words should carry weight for anyone building decision models: while optimization modeling is your specialty and craft, operationalizing models into live processes is likely not.Going “live in production” where your decision model’s plans have real-world impact is a collaborative process that is made more efficient by integrating with software engineering tools and practices. DecisionOps is a set of practices, tools, and infrastructure for operationalizing decision models quickly, consistently, and reliably. It also unlocks a collaborative workflow that makes model development, analysis, and understanding more efficient, increasing the likelihood of model success.Join this session to learn about each piece of the DecisionOps workflow and how to get started through real-world applications and storytelling. We’ll cover integrating models as microservices, monitoring and observability for performance, testing for model validation and rollout quality, CI/CD workflows, and reporting and interactive visualization to promote stakeholder understanding and buy-in.
