Scalable AI for Environmental and Social Impact

Explore how AI technologies can be applied to improve the planet in this 24-minute conference talk by Microsoft experts. Discover Microsoft's latest contributions to Apache Spark and Machine Learning communities, with a focus on AI for environmental and social impact. Learn about using Azure Databricks, Azure Machine Learning, and Microsoft ML for Apache Spark to analyze over 5,000 years of human creativity with the Metropolitan Museum of Art. Gain insights into Microsoft's use of Apache Spark for protecting endangered species. The talk covers topics such as ML Ops, unexpected serendipity in experiments, exploring art collections, and leveraging deep image classification for leopard spot recognition. Understand how these technologies can be scaled to create global solutions for environmental and social challenges.

Intro
Deep Dive
Goals
ML Ops
The Final Product
The Experiment
Unexpected Serendipity
Explore the Collection
Azure Databricks Spark
Databricks Spark
Demo
Recap
Snow Leopard Trust
Bing
Deep Image Classification
Leopard Spot Recognition
ML for Spark
Summary
Global Scale Solutions
Outro