Big Data in the Context of Financial Analytics and Social Media
Real-Time B2B and B2C Infonomics

9.00 Registration

09.30 Welcome and Introduction – Professor Gautam Mitra, UNICOM Seminars & OptiRisk Systems

09.45 Opening Keynote: Big Data: less than meets the eye?
Professor David J Hand OBE, Chief Scientific Advisor, Winton Capital Management

We are inundated with messages about the promise offered by big data. Economic miracles, scientific breakthroughs, technological leaps appear to be merely a matter of taking advantage of a resource which is increasingly widely available. But this promise is not as novel as it seems. I look back at previous loops through such promises, noting that little has changed but the name. I then look forward at the ‘mere matter of taking advantage of big data resources’, noting that things are not as straightforward as the media hype would have us believe.

10.45 Coffee

11.15  Big Data: Multiplatform Analytics
Mike Ferguson, Intelligent Business Strategies

• What Big Data is
• How Big Data creates several new types of analytical workload
• Big Data technology platforms beyond the data warehouse
• How to integrate Big Data with traditional data warehouses and BI systems
• Big Data analytical techniques and front-end tools

11.45 Rise of Real Time Analytics: the second wave of Big Data
Dai Clegg, Acunu

At first, big data only meant taking cost out of data warehousing and adding new data sources. Then organizations started to look at situations where, if they knew now what was happening now they’d do something different. That is the definition of operational intelligence, or real-time analytics that this presentation explores – from the technology perspective and from a case study perspective.

12.15 Dealing with the ever increasing Volume, Velocity and Variability of data in finance
Daniel Roberts, MongoDB

12.45 Lunch

Combined Session with Open Source Conference until Tea break

13.45 Panel Session: Open Source Software and Proprietary Software: Identifying the winning strategy

14.30 Open Source Enterprise search in a World of Big Data 
Charlie Hull, Flax

15.00  Tea

15.30  Processing, Filtering and Adding Value to Streaming Twitter Data
Cynan Rhodes, FSWire

• Size and Volume of the Data
• What: we wish to achieve after processing the data
• How: what technology is used to process and filter
• Why: the results are of value to a quant finance team

16.00 Extracting  User-Level Sentiments with Approval Relations
Federico Alberto Pozzi, Department of Informatics Systems & Communication (DISCo) University of  Milano-Bicocca, Italy

• Approval graphs (relations) of peers
• Sentiment and opinion formation
• Discovering structure of approval graphs from micro blogs
• Discussion of a use cases

16.45 Chairman’s summary; close   

17.00 Drinks Reception sponsored by Black Duck.