Now your apps can get smarter with as little as a single line of code. They can learn to continually adapt to changing conditions and to integrate new information. This week at Google I/O, we’re making the Google Prediction API generally available, meaning you can create apps with these capabilities for yourself. Additionally, we’re introducing several significant new features, including:
- The ability to stream data and tune your predictive models
- A forthcoming gallery of user-developed, pre-built models to add smarts even faster.
The Google Prediction API can be used by almost any app to recommend the useful, extract the essential, and automate the repetitive. For example:
- Recommend a new movie to a customer.
- Identify most important customers.
- Automatically tag posts with relevant flags.
For example, Ford Motor Co. Research is working to use the Prediction API to optimize plug-in hybrid vehicle fuel efficiency by optionally providing users with likely destinations to choose from, and soon, optimizing driving controls to conserve fuel. Because the API is a cloud-hosted RESTful service, Ford has been able to access its computationally-intensive machine learning algorithms to find patterns that rank potential destinations based on previous driving paths. Ford will be demonstrating their work at the API’s I/O Session.
Here’s a summary of the features we added to the API today:
- Streaming training data: Continually incorporate feedback for fast-adapting systems (e.g. user-chosen tags vs predicted ones, final purchases vs expected).
- General availability: Anyone can now sign up to use the API. Paid users also receive a 99.9% SLA with increased quota.
Today, we are also announcing the Prediction API’s forthcoming gallery of pre-trained third party predictive models (try these demo models right now), and we will be adding more constantly (maybe yours – waitlist). Once complete, all Prediction API users will be able to:
- Subscribe to others’ models: improve your apps with others’ predictive data tools.
- Sell access to your models (e.g. sentiment analysis on social media).
- Import customized models through the open-standard PMML encoding.
Thanks to our community of preview developers, who have played a crucial role in helping us make the Google Prediction API simpler and more powerful since its announcement last year at I/O 2010. We are thrilled to invite all developers to join them.