featurestream-2

Andy Twigg
Andy TwiggChief Scientist at InsideSales.com
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
(C) 2013 featurestream.io
Analytics today
“Analytics”
eg Data warehouse
OLAP cubes
Dashboards
?
Action
Event streams
(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
(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
...
(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
(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
(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
(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
(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
1 of 9

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featurestream-2

  • 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