SESSION + Live Q&A
The Move to AI: From HFT to Laplace Demon
The race for low latency data continues. 10 years ago, Flashboys were helping HFT make money with low-latency infrastructures. Today, hedge funds build AI brains pumping hundreds of sources of data in real-time, seeking ubiquity to build Laplace Demons.
Speaker
Eric Horesnyi
CEO @streamdata.io
Eric is the CEO of streamdata.io. He was a founding team member at Internet Way (French B2B ISP, sold to UUnet) then Radianz (Global Finance Cloud, sold to BT). He is a High Frequency Trading infrastructure expert, passionate about Fintech, IoT and Cleantech. Eric looks after 3 bozons and has...
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Speaker
Albert Bifet
Associate Professor @Telecom ParisTech
Albert Bifet is Associate Professor at Telecom ParisTech and Honorary Research Associate at the WEKA Machine Learning Group at University of Waikato. Previously he worked at Huawei Noah's Ark Lab in Hong Kong, Yahoo Labs in Barcelona, University of Waikato and UPC BarcelonaTech. He is the...
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Achieving High Load in Advertising Technology
High Load consists of three factors: Latency - The Speed of an individual request, business transaction or event Throughput - The Scale required to process a number business transactions per time period a.k.a TPS Availability - The system 99.XXX% availability 24/7/365 AdTech is the...
Peter Milne
Technology Architect @Adform
Policing The Stock Market with Machine Learning
Neurensic has built a solution, SCORE, for doing Trade Surveillance using H2O (an open-source pure Java Big Data ML tool), Machine Learning, and a whole lot of domain expertise and data munging. SCORE pulls in private and public market data and in a few minutes will search it for all sorts of bad...
Cliff Click
CTO @Neurensic
Extreme Programming Meets Realtime Data
At Unruly, we're fast and furious both in terms of the volumes we're handling and in our development process. Scaling incrementally has raised some interesting challenges in how to deal with growing data volumes, and by trying to deliver value in small steps, we've ended up with some...
Tom Johnson
Software Engineer @UnrulyCo
Gel Goldsby
Reporting and Data Team Lead @Unruly
Predictability In ML Applications
In the context of building predictive models, predictability is usually considered a blessing. After all – that is the goal: build the model that has the highest predictive performance. The rise of ‘big data’ has in fact vastly improved our ability to predict human behavior thanks to the...
Claudia Perlich
Chief Scientist at Dstillery