Track Overview
Fast & Furious: Ad Serving, Finance, & Performance
Learn some of the tips and technicals of high speed, low latency systems in Ad Serving and Finance
From this track
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...
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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...
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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...
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Tom Johnson
Software Engineer @UnrulyCo
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Gel Goldsby
Reporting and Data Team Lead @Unruly
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.
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/_dsc8004_2.jpg?itok=tnq31STq)
Eric Horesnyi
CEO @streamdata.io
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Albert Bifet
Associate Professor @Telecom ParisTech
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...
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Claudia Perlich
Chief Scientist at Dstillery
Ad Serving & Finance Open Space
Speakers from this track
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/Peter%20Milne.jpg?itok=apbh5_Fo)
Peter Milne
Technology Architect @Adform
Peter is a Technology Architect at Adform based in Copenhagen where actively is involved architecting and migrating technologies and work practices to a scalable enterprise platform. Before Adform he was a Field Engineer at Objectivity launching a new Graph Database product: ThingSpan. Prior to...
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![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/2013_cliff_click.jpg?itok=JUvSqstJ)
Cliff Click
CTO @Neurensic
Cliff Click is the CTO of Neurensic, and before that the CTO and Co-Founder of h2o.ai, the makers of H2O an open source math and machine learning engine for Big Data. Cliff wrote his first compiler when he was 15 (Pascal to TRS Z-80!), although Cliff’s most famous compiler is the HotSpot...
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Tom Johnson
Software Engineer @UnrulyCo
Tom is a senior software developer at Unruly (an ad tech company), and previously worked at LMAX: both companies as well-known for their agile/xp process as their technical credentials. Tom is a born-again software developer - having gone back to university to study computer science in later...
Read more![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/gelconferencephoto.jpg?itok=5I_0p0_r)
Gel Goldsby
Reporting and Data Team Lead @Unruly
Gel is the Reporting and Data Team Lead at Unruly, an agile Ad Tech company. She works magic on the various pipelines and databases to enable them to handle even more high frequency, low latency data. She fervently believes pink hair makes data go faster. Gel is a big advocate of all things...
Read more![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/_dsc8004_2.jpg?itok=tnq31STq)
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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![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/albert_bifet.jpg?itok=KdvL1bTX)
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...
Read more![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/claudia_0.jpg?itok=QhgFXXFt)
Claudia Perlich
Chief Scientist at Dstillery
Claudia Perlich currently acts as chief scientist at Dstillery (previously m6d) and in this role designs, develops, analyzes, and optimizes the machine learning that drives digital advertising. She has published more than 50 scientific article and holds multiple patents in machine learning. She...
Read moreTrack Host
![Charles Humble](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/charles-humble-featured.jpg?itok=7ENOgHNC)
Charles Humble
Head of Editorial @InfoQ.com
Track Host
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/charles-humble-featured.jpg?itok=7ENOgHNC)
Charles Humble
Head of Editorial @InfoQ.com
Charles Humble took over as head of the editorial team at InfoQ.com in March 2014, guiding the content creation including news, articles, books, video presentations and interviews. Prior to taking on the full-time role at InfoQ, Charles led our Java coverage, and was CTO for PRPi Consulting, a...
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