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Data Days 2014
1.
CLICK PREDICTIONS FOR
500M MOBILE DEVICES
2.
© 2008-2014 ADVERTISING IS
A DATA BUSINESS Refinement of a commodity: pixel real-estate Value creation: delivering advertiser message to right client in context KPI: quality and price Telekom Shop Bonn-City Friedensplatz 4 53111 Bonn 0.5km
3.
© 2008-2014 ADVERTISING IS
A BIG DATA BUSINESS >1B unique devices ~40B impressions per day traded through RTB WW 40TB of new data per day ~500k impressions per second Latency: 100ms
4.
© 2008-2014 GEOGRAPHIC DISTRIBUTION 50ms RTT 50ms RTT50ms RTT 50ms RTT
5.
© 2008-2014 TECH CHALLENGE:
SCALE AND COST Prediction latency: 3ms Volume: 500k impressions per second = 300 predictions per core = 1,500 cores = 150-200 servers for bidding Cloud Cost: $200,000 per month
6.
© 2008-2014 PREDICTION Multiple
concurrent predictive models Likelihood to act (click, land, browse, buy) Demographic groups Sociographic groups Interest groups Fraud detection Site classification 100’s ofTB input data sets for training Runs for many hours a day on even more machines Some refreshed hourly
7.
© 2008-2014 DATA ENRICHMENT
Multiple enrichments per bid request User Location Device Weather 10’s of Billion records with <1ms access latency Data store with >1M IOPs/second
8.
© 2008-2014 PREDICTIVE MODEL
Predictive model has substantially cost impact Every impression individually priced based on KPI estimation (e.g., click) Basic filtering is insufficient Continuous model update in multiple time scales 1. Model refinement in real time 2. Full retraining at longer time scales (hour, day, week)
9.
© 2008-2014 REAL-TIME BIG-DATA
BUSINESS Technology and process Blue print invented by financial world Layer-cutting integration Human touch points with distributed ownership Scales when done right Real-Time Decisioning Data Acquisition Storage Batch Analytics Model Testing Time Series and Cubes Dashboard and Reports
10.
© 2008-2014 THANK YOU 10 Dr.Volkmar
Uhlig CTO Adello volkmar@adello.com
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