How AI Teams Ease Scaling Popular AI/ML Use Cases

• GPU-intensive natural language processing (NLP) for better content interpretation and understanding 

• Scalable deep learning and distributed training on large datasets for dynamic pricing, estimating arrival times (ETA) and recommendation systems 

With Ray and Anyscale, developers can accelerate model development and effortlessly deploy and scale models in production on large data sets - without the need for complex infrastructure engineering. 

Learn about use cases including:  

• How Instacart uses Ray to optimize routing of deliveries in real time.

• How Anatasia and others use Ray to scale time-series forecasting for thousands of different partitions..

• How leading game game studioRiot Games and J.P. Morgan use Ray to scale

  reinforcement learning with Ray’s RLlib library which provides over 25 scalable RL algorithms 

• How Shopify, Entrupy, Dendra and Riccardo incorporate unstructured data and text documents into large-scale inference pipelines.