Tackling Operational Time-to-Market Decelerators in AI/ML Projects

Explore strategies for addressing operational challenges that slow down time-to-market in AI/ML projects in this 26-minute conference talk by Adrian Matei and Andreea Munteanu from Canonical. Gain insights into the importance of Time To Market (TTM) in the competitive AI landscape and learn how to overcome obstacles in creating secure, scalable, and compliant ML infrastructures. Discover the potential benefits of engaging Managed Service Providers (MSPs) to offload operational burdens and focus on innovation. Examine key considerations for selecting the right MSP, including expertise, automation capabilities, and compliance adherence. Delve into the management of open source tools like Kubeflow and MLflow across hybrid and multicloud environments. Acquire valuable knowledge to make informed decisions about operational approaches that align with your organization's broader objectives in AI/ML project implementation.

Tackling Operational Time-to-Market Decelerators in AI/ML Projects - Adrian Matei & Andreea Munteanu