Learn how Intuit developed Numaflow, a Kubernetes-native open-source platform that streamlines AI/ML inference workflows for real-time data streams. Discover the challenges Intuit faced when building ML systems that operate on real-time data, including complex messaging systems, scaling requirements, and seamless inference needs that were slowing down ML teams and hindering innovation. Explore how Numaflow empowers teams to easily connect to streaming sources, apply transformations, and run inference at scale without typical overhead. Understand the platform's approach to enhancing developer experience, reducing boilerplate code, and accelerating deployment of ML workflows. Gain practical insights into running real-time inference on streaming data through Intuit's proven methodology, making this valuable for data scientists, ML engineers, and platform builders working with Kubernetes-based ML infrastructure.