Featurestream.io provides a machine learning platform that builds predictive models on data streams in real-time and generates actionable predictions. It integrates into application infrastructure through JSON APIs. Featurestream automatically mines for patterns in event streams and enriches data with predictions, anomalies and more. Potential use cases include predicting financial movements from news, finding anomalies in operations data, and extracting signals from smart meter or social media streams.

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

2. (C) 2013 featurestream.io
Analytics today
“Analytics”
eg Data warehouse
OLAP cubes
Dashboards
?
Action
Event streams

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

4. (C) 2013 featurestream.io
featurestream.io
Event streams
Real-time actions
Featurestream
stream mining engine
Streaming machine learning,
incremental model building
Enriched events
Predictions
Anomalies
...

5. (C) 2013 featurestream.io
featurestream.io
Real-time actions
{
id:10,
time:1022391,
type:SIGV,
value:92.1
}
{
id:10,
time:1022391,
type: {actual:SIGV, expected:SIGV, confidence:0.93},
value: {actual:92.1, expected:108.2, confidence:0.82}
}
Enriched events
Predictions
Anomalies
...
Event streams
Featurestream
stream mining engine

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