STAC Summit, 7 May 2018, Chicago


STAC Summits

STAC Summits bring together industry leaders in architecture, app dev, infrastructure
engineering, and operational intelligence to discuss important technical challenges in
the finance industry. Come to hear leading ideas and exchange views with your peers.

Monday, 7 May 2018
STAC Exchange (exhibits) opens at 8:30am
Meeting starts at 9:30am
Networking Lunch at ~12:00pm
Conference concludes ~4:00pm
Reception immediately following.

The Metropolitan Club
Willis Tower
233 South Wacker Drive, 66th Floor, Chicago

Important Information:
Business Casual Attire is required by the Club.

Please allow extra time to arrive at the Willis Tower.
At the lobby, present your photo ID and let the receptionist know
that you are attending the STAC Summit at the Metropolitan Club.

Partial Agenda


Big Compute Big Compute

Fast Compute Fast Compute

Big Data Big Data

Fast Data Fast Data


  Making data science pay: Mastering the challenges of analytics operationsBig Data   
  • Michel Debiche, Guest Analyst, STAC

Many asset managers, hedge funds, brokers, and other financial firms are under pressure today to improve profitability through better application of technology to data. Some of them are looking to extract value from new kinds of information, while others are more focused on improving the yield from data they already have. But all of them are turning to data science and its most intriguing subset, machine learning, to analyze these datasets. However, many enterprises struggle to derive business value from these analytics, irrespective of the scale of their data science investment. Putting the models into production so that they feed either human or automated decision systems is typically slow, ad-hoc, and expensive. Once in place, all too often the data quality is poor, the operational support is inadequate, and the model success decays over time. As a former quant who learned the hard way how to build effective analytics operations, Michel believes that CTOs and Heads of Research need to treat data-driven analytics as an industrial process. This does not mean squashing the creativity out of data scientists. On the contrary, Michel will argue that the right technology frameworks and end-to-end processes can liberate the creative energy of data scientists while maximizing the value they deliver to the business. In this talk, he will make his case.

STAC Update: Big WorkloadsBig Data   Big Compute   
  • Peter Lankford, Founder & Director, STAC

Peter will present the latest benchmark results for big data workloads like tick analytics and big compute workloads like derivatives valuation.

  Battle of the bottlenecks: Accelerating workloads that combine big data and big computeBig Data   Big Compute   
  • Speakers to be announced soon

Some workloads have such simple compute and such large datasets that they will always be bottlenecked on I/O. And some workloads do massive computation while inputting and outputting very little data. But what about the workloads that involve both big data and big compute? These are on the rise, whether it’s backtesting increasingly complex trading strategies, processing natural language and other unstructured data, or analyzing and aggregating risk across numerous scenarios. For workloads like these, the bottlenecks tend to shift depending on the technologies used to handle them. As I/O gets faster, there’s more pressure on the compute. As compute accelerates, it exposes limitations in I/O. We’ll ask a panel of experts to discuss these hybrid workloads and the best ways to handle them. What are the leading techniques for acceleration? How can a firm bring those techniques together in an easy-to-use manner?

Additional Big Workload sessions to be announcedBig Data   Big Compute   



STAC Update: CloudFast DataBig Data   Fast Compute   Big Compute   
  • Peter Lankford, Founder & Director, STAC

Increasing the use of public, private, or hybrid clouds is high on the agendas of many financial firms. However, when making cloud decisions, these firms face a number of questions and obstacles in areas like security, price-performance, and functionality. The new STAC Cloud Special Interest Group (SIG) is a group of financial firms and vendors that has set out to standardize methods of assessing cloud solutions, facilitate dialog and best practices, and guide a testing program. Peter will explain what it’s all about.

STAC Update: Time SyncFast Data
  • Peter Lankford, Founder & Director, STAC

Peter will provide the latest information regarding STAC-TS tools and research in the area of time synchronization, timestamping, and event capture.

STAC Update: Fast DataFast Data   
  • Peter Lankford, Founder & Director, STAC

Peter will discuss the latest research and Council activities related to low-latency/high-throughput realtime workloads.

Several Fast Data sessions to be announcedFast   



Innovation RoundupsFast DataBig Data   Fast Compute   Big Compute   
  • Full lineup to be announced shortly

A growing list of vendor presentations from firms including Bigstream, Endace, Enyx, Exablaze, LDA Technologies, Metamako, NovaSparks, quasardb, Quobyte, Solarflare, and more.


~4:00pm Networking Reception




About STAC Events & Meetings

STAC meetings bring together industry leaders to focus on challenging areas of financial technology. They range from large in-person gatherings (STAC Summits) to webinars and working group teleconferences. 

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