Seldon presents research at NeurIPS @ Cambridge

Seldon, in collaboration with the University of Cambridge, is actively engaged in advancing machine learning operations (MLOps) by participating in the NeurIPS @ Cambridge event, which aligns with the prestigious Neural Information Processing Systems Conference held in New Orleans and virtually. At the Cambridge meetup, Seldon will showcase contributions including a poster session by MLOps Engineer Sherif Akoush and researcher Andrei Paleyes on the "Desiderata for Next Generation of ML Model Serving," and a lightning talk by Applied ML Researcher Oliver Cobb on "Towards Practicable Sequential Shift Detectors," highlighting the challenges and advancements in deploying and monitoring machine learning systems. The event is an opportunity for Seldon to engage with the wider AI/ML community, emphasizing data-centric design patterns for scalable ML deployments, and fostering continuous learning through workshops, presentations, and networking opportunities.

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