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1
Intro
2
Deep Dive
3
Goals
4
ML Ops
5
The Final Product
6
The Experiment
7
Unexpected Serendipity
8
Explore the Collection
9
Azure Databricks Spark
10
Databricks Spark
11
Demo
12
Recap
13
Snow Leopard Trust
14
Bing
15
Deep Image Classification
16
Leopard Spot Recognition
17
ML for Spark
18
Summary
19
Global Scale Solutions
20
Outro
Description:
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.

Scalable AI for Environmental and Social Impact

Databricks
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