1. Featurestream.io -
machine learning for machine data
TL;DL
- Build predictive models on data streams automatically
- Generate actionable predictions in real time
- Integrates into your application infrastructure: JSON in, JSON out
- Looking for early adopters in finance, operations, monitoring
hello@featurestream.io
3. (C) 2013 featurestream.io
Analytics today
“Analytics”
eg Data warehouse
OLAP cubes
Dashboards
?
Action
Event streams
Problems:
- Queries defined in advance - you have to know what you’re looking for
- Difficult to integrate into application infrastructure - humans watching dashboards
Solution:
- Computers are good at spotting patterns - give the humans a hand
- Mine for patterns automatically
6. (C) 2013 featurestream.io
featurestream.io
Event streams
Data warehouse
OLAP cubes Dashboards
Enriched events
Predictions
Anomalies
...
Real-time actions
Packaged into a
complete stream
analytics solution
Featurestream
stream mining engine
7. (C) 2013 featurestream.io
Example: infrastructure monitoring
• Monitor metrics of web service
• Featurestream learns typical behaviours
• A disk has mechanical failure
• Featurestream alerts you that
• Latency of response has increased
• The disk has higher response times
• You can quickly identify the fault
8. (C) 2013 featurestream.io
Use cases
• Finance:
• Predicting prices/movements from prior prices and public news feeds (e.g.
Reuters, BBC news, social media)
• Finding anomalous events in trading data
• Operations/monitoring: extracting signals from syslog/splunk/click data
• Smart metering: real-time signals from smart meter data
• Marketing: real-time features from social media/news streams
9. (C) 2013 featurestream.io
Next steps
• Get an access key at http://featurestream.io and try it (hosted service)
• Talk to us about adding streaming machine learning into your application
infrastructure
hello@featurestream.io