MLOps Live is a complimentary webcast focusing on managing and automating machine learning pipelines to bring data science into real business applications. The sessions go beyond theory, with industry leaders sharing challenges and practical solutions through real case studies that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.
Suggested Topics:
Open-source technologies for MLOps
KubeFlow standardization
MLRun
MLFlow
Online and offline feature stores
Experiment and data tracking
Reinforced machine learning
AI use-cases in business applications
Machine learning deployment and operation challenges
Machine learning model training at scale
Machine learning pipeline automation
Serverless in machine learning pipelines
Model deployment and monitoring in production
Implementing AI in real-time and interactive applications
Model versioning and reproducibility
Data and feature vector access in production
Security challenges in production
Using GPUs to accelerate training and inferencing
Working in heterogeneous environments (multi-cloud, edge, on-premises)
Distributed machine learning
Spark and big data over Kubernetes
Natural language processing at scale
Cost optimization of machine learning pipelines
Iguazio is the data science platform built for production and real-time AI applications. Backed by Bosch, Verizon Ventures, Samsung, CME Group, Dell and top financial investors, Iguazio works with companies in the financial, retail, healthcare, smart mobility and gaming industries on diverse use cases such as predictive maintenance, fraud prevention, churn mitigation and more. The company is led by serial entrepreneurs and a diverse team of innovators in the USA, UK, Singapore and Israel. Iguazio is partnered with dozens of technology companies including Microsoft Azure, AWS, Google, NVIDIA and NetApp.