1,490
There is still much to be desired when it comes to building resilient data-centric architectures.
On Tuesday November 15, GigaSpaces and UBS will tackle this challenge together and discuss the latest trends that are driving increased adoption of in-memory computing technologies. Check out our event page to get all the details.
UBS leverages GigaSpaces in-memory computing technology to continuously drive innovation in the face of ever-growing data from multiple sources across technology stacks. Hear how they build a real-time event store, backbone processing, and hosted services that allow rapid scalability of business applications while maintaining mission-critical uptime SLAs.
With this intimate event, we wish to allow for technology innovators from various industries to engage in dialogue and share ideas.
If you yourself are looking for scalability solutions, or are faced with the omni-present challenge of analyzing real-time data and making informed business decisions based on your data – this is the event for you. Plus, breakfast is included and who doesn’t love breakfast?
Useful Information
Date:
Tuesday November 15, 2016
Venue:
Canary Riverside Plaza
Canary Wharf Group, 46 Westferry Circus
London E14 8RS, United Kingdom
- 08:30 – 09:00 – Breakfast and Gathering
- 09:00 – 09:30 – Ali Hodroj – In-Memory Computing Driving Digital Transformation
- 09:30 – 10:00 – Anand Gopinath – Building a Resilient Data-Centric Architecture to Support Operation Post-Trade Processing
- 10:00 – 10:30 – Panel Discussion
Event Speakers
Ali Hodroj / Vice President, Products & Strategy @GigaSpaces
Ali will look at some of the latest trends that are driving increased adoption of in-memory computing across industries. Ali will also look specifically at the drivers for in-memory data grids, and how GigaSpaces has been helping Fortune-500 customers towards their real-time digital transformation.
Anand Gopinath / Group Operations – Technical Lead of Core Application Infrastructure, Executive Director @ UBS Investment Bank
In a typical large-scale banking operation, hundreds of systems processing trades of different asset classes and markets. This is an expensive environment to innovate on. There is still much to be desired when it comes to responding to changing regulator demands due to information being buried in numerous apps. In this talk Anand Gopinath from UBS talks about how they utilized GigaSpaces In-Memory Data Grid to build a real-time event store, backbone processing, and hosted services that allows rapid scalability of business application while maintaining mission-critical uptime SLAs.
