Track: Fast & Furious: Ad Serving, Finance, & Performance


Day of week:

Learn some of the tips and technicals of high speed, low latency systems in Ad Serving and Finance

Track Host:
Charles Humble
Head of Editorial
Charles Humble took over as head of the editorial team at 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 renumeration research firm that was acquired by PwC in July 2012. For PRPi he had overall responsibility for the development of all the custom software used within the company. He has worked in enterprise software for around 20 years as a developer, architect and development manager. In his spare time he writes music as 1/3 of London-based ambient techno group Twofish, whose debut album came out in February 2014 after 14 years of messing about with expensive toys, and spends as much time as he can with his wife and young family.
10:35am - 11:25am

by Claudia Perlich
Chief Scientist at Dstillery

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 introduction of much more informative features. However, in practice things are more differentiated than that. For many applications, the relevant outcome is observed for...

11:50am - 12:40pm

by Peter Milne
Technology Architect @Adform

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 technology that supports Digital Marketing.

The “free” internet services such as, Email, Facebook, Skype, etc. are funded by Digital marketing. In this talk you will...

1:40pm - 2:30pm

by Tom Johnson
Software Engineer @UnrulyCo

by Gel Goldsby
Reporting and Data Team Lead @Unruly

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 unconventional solutions. We'll talk about scaling problems we've encountered, and where extreme programming values led us.

2:55pm - 3:45pm

Open Space
4:10pm - 5:00pm

by Cliff Click
CTO @Neurensic

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 behavior: spoofing, wash-trading and cross-trading, pinging, and a lot more. It then filters down the billions of rows of data down to human scale with some great...

5:25pm - 6:15pm

by Eric Horesnyi

by Albert Bifet
Associate Professor @Telecom ParisTech

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.