Spotlights Ready to drive positive change across the world with your code?
The 2018 Call for Code Global Challenge asks developers to create solutions that significantly improve preparedness for natural disasters and relief when they hit. The winning application will be adopted as an open source project (through the Linux Foundation) to be scaled and accelerated to deployment in the areas of greatest need. Create a Google Action with Watson Assistant
Use Watson Assistant as the brains behind a Google Assistant Action to easily build a human-like chatbot. Move your machine learning insights into production
Build modules that best suit your data, and then deploy these models online. Predict wildfire intensity
Use NASA data with Watson Studio and Machine Learning to predict the intensity of wildfires. Track an object in space
Build a web UI that uses tools such as Node-RED and IBM Watson Assistant to track objects in space.
Popular videos
Take an in-depth tour of the Watson Visual Recognition tooling available in Watson Studio
 Call for Code: Hear how developers are taking on disaster preparedness 
In the News Deploying machine learning models in the cloud How to build a recipe slackbot using Watson Conversation and Spoonacular API A guide to always improve your Watson Assistant
Events  Watson ML with Python
12 September; Riyadh, Saudi Arabia Watson Services on IBM Cloud - Workshop for Developers
25 September; Berlin, Germany Deep Learning Summit
25-26 October; New York, New York | 
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