FISD New York Engineering Stream – June 18, 2024

June 18 @ 8:30 - 3:30 p.m.
Google Campus – Pier 57, 25 Eleventh Ave, New York, NY 10011

This event is at capacity. To be added to the waitlist or ask questions, please contact David Anderson.

Dress code for this event is business casual.

Please note that this event has limited capacity. Should the event become fully subscribed, FISD reserves the right to limit the number of delegates attending per firm. This may require removing some registrations in excess of the per company limit. The purpose of this policy is to ensure a diverse member audience with a mix of consumers, vendors, exchanges, and others.

Look Who's Coming

Agenda
8:30 – 9:00 a.m.	Registration
9:00 – 9:10 a.m.	FISD Introduction David Anderson, Program Director, FISD/Atradia
9:10 – 9:20 a.m.	Host Welcome by Google
9:20 – 9:50 a.m.	Market Data in the Cloud, Best Practices and Strategies From the Field The mission to leverage the cloud for all workloads, especially latency sensitive workloads such as market data, has now come to the forefront throughout financial services. The reason for slower adoption varies from consumer to consumer, but software and hardware infrastructure have evolved and are now viewed as an enabler. In this session, BCC Group will discuss challenges, best practices and strategies gathered over years of significant and real-world experience. If you are planning or are already on your journey to cloud, this session will be a great place pick up some tips, but more importantly, to ask your questions. William Bierds, Software Engineer, BCC Group
9:50 – 10:20 a.m.	Architecting in the Cloud to Deliver Highly Available HPC Solution for Market Data In this session we will be discussing cloud architecture design patterns to perform analytics on real time streams of data leveraging high performance compute. James Calise, Senior Director, Cloud Engineering, Financial Services, Oracle
10:20 – 10:50 a.m.	The Shift Towards Cloud Adoption for Live Market Data The financial industry is moving towards cloud adoption for live market data, creating challenges and opportunities. Despite this trend, institutional algorithmic trading remains an exception. The presentation will cover Cloud Adoption Dynamics, Multi-Cloud Considerations, and Entitlement Controls in the Cloud. By addressing these complexities, we can foster collaboration, drive innovation, and enhance resilience in the market data infrastructure. Jason Murphy, Principle Product Manager, Exegy
10:50 – 11:20 a.m.	Coffee Break
11:20 – 11:50 p.m.	Creating Advantage with the Desktop We explore how to configure a desktop to monitor the timeliness of data delivery for simultaneous updates from different sources. Data consumers have the option of receiving data from its point of origin via various means or distribution methods. For example, exchange data received via vendors, directly from the exchange, or from low latency distributors via internal applications. We explore functionality to identify any differences as to when updates are received. Matthew Jeffs, CEO, Arcontech Darren Lewis, Director Development, Arcontech
11:50 – 12:20 p.m.	Leveraging Multi-Cloud to Pick the Best Service for Capital Markets Use Cases As Capital Markets firms continue their migration to cloud, the trend is shifting from hybrid-cloud to a multi-cloud approach. Since Capital Markets firms had past investments in on-prem infrastructure, a hybrid cloud approach was intuitive. However, with the increased competition between different cloud providers, especially with their LLM offerings, a multi-cloud approach is becoming more desirable. In this talk, we will discuss the latest trend he is observing in the market and how companies can leverage services from different cloud providers. Himanshu Gupta, Senior Solutions Architect, Capital Markets, Solace
12:20 – 1:45 p.m.	Lunch
1:45 – 2:15 p.m.	Taking Control of Your Data Egress Costs in the Cloud Join our focus on how to efficiently distribute real time data streams to customers. Better cloud egress patterns and careful data optimization can hugely reduce costs. Discover how leveraging deltas, compression and customized conflation can help achieve better results in time, efficiency, and hefty egress bills. Let’s pave the way to a more efficient and cost-effective cloud experience together! Dave Carson , Head of Field Engineering, DiffusionData Scott Fink, Managing Director, America’s, DiffusionData
2:15 – 3:15 p.m.	Accelerated Development with AI: Tools, Models, and Best Practices Join us for hands-on insights into applying AI in the financial services. Learn how to streamline development with the right tools, select effective models, and implement industry-proven strategies for maximum business impact. Vasudha Gupta, Head of Customer Engineering for Banking, Google Cloud Nuno Pereira, Head of AI for Banking, Google Cloud
3:15 – 3:25 p.m.	Closing Remarks David Anderson, Program Director, FISD/Atradia