Summary of my MLOps NYC talk, major AI/ML & Data challenges and how they will be solved with emerging open source technologies
Summary of my MLOps NYC talk, major AI/ML & Data challenges and how they will be solved with emerging open source technologies
Discover Iguazio's "cloud-like" Intelligent Edge, powered by NVIDIA EGX, which enables data and compute intensive processing with seamless usability.
Today we all choose between the simplicity of Python tools (pandas, Scikit-learn), the scalability of Spark and Hadoop, and the operation readiness of Kubernetes. We end up using them all.
You’ve played around with machine learning, learned about the mysteries of neural networks, almost won a Kaggle competition and now you feel ready to bring all this to real world impact. It’s time to build some real AI-based applications.
Still waiting for ML training to be over? Tired of running experiments manually? Not sure how to reproduce results? Wasting too much of your time on devops and data wrangling?
Yaron Haviv explains serverless and its limitations, providing a hands-on example of using a serverless architecture to simplify data science development and accelerate time to production for data collection, exploration, model training and serving.