Amazon Machine Learning: Ten Cents for One Thousand Predictions
*I wonder how the Amazon Stack figured out how to monetize that. Â With Big Data analysis, probably.
http://www.zdnet.com/article/watch-out-watson-here-comes-aws-machine-learning/
âWatch out Watson: Here comes Amazon Machine Learning
âSummary:AWS launches Amazon Machine Learning with the aim of giving non-statisticians the power to make better predictions from massive stores of data.
âAWS developers who want to extract meaning and forecasts out of their data now no longer need other hosted machine learning platforms.
âPublic cloud giant Amazon Web Services (AWS) on Thursday unveiled its first product for machine learning - simply called Amazon Machine Learning - to make it easier for AWS developers to extract value from the troves of transactional and operational data their hosted systems collect.
âThe move by Amazon follows IBM's recent launch of hosted Watson Analytics and Microsoft's Azure Machine Learning, with all three now looking for ways to help developers embed machine learning intelligence into their apps. Google's own machine learning offering, Prediction API, was launched in 2012.
âMuch like AWS itself, Amazon Machine Learning emerged from technology that Amazon's internal data scientists used to create machine learning models that help it ferret out useful patterns from its data and ultimately make sharper predictions. However, AWS wants Amazon Machine Learning to be useful even for those without a degree in statistics. Â (((That would be handy.)))
âUsing AWS Machine Leaning APIs, developers can create new models derived from data stored in Amazon S3, Amazon Redshift, or MySQL databases in Amazon RDS.
âCharges for the service come on top of existing services used in AWS and are available as two prediction types: batch predictions for applications that need a bunch of predictions all at one; and real-time predictions that allow apps to request predictions on demand. Â (((How about predicting something useful, like how long it will take Amazonâs Silicon Valley rivals to implode from their climate-crisis drought.)))
âFor batch predictions, its charging 10 cents per 1,000 predictions, while real-time predictions, based on memory required, are priced at $0.0001 per prediction.
âThe batch prediction pricing example AWS offers is includes compute fees and prediction fees. So at 10 cents per 1,000 predictions, if a developer wanted to run 890,000 predictions in a month that would cost $89. They'd pay additional compute fees based on the number of hours required.
âAmazon says that its platform supports three types of predictions to answer certain types of questionsâ -- (((go read the article to figure out what those types of questions are. Â Hint: this being Amazon, theyâre all about patterns in selling stuff.)))