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Cloud Native High Throughput Compute: Financial Services
WEBINAR OVERVIEW
Interested in looking at the ways Reply and AWS can help you scale and modernise your High Performance Computing environments and applications faster, significantly reducing costs and time to business value ?
With new dynamic competitors in financial services, changing customer expectations, increasingly complex regulatory challenges and market volatility, current monolithic, batch focused legacy High Throughput Computing (HTC) solutions are becoming increasingly uncompetitive.
- Do you find that your current HTC applications are too slow to respond as well as increasingly complex and costly to maintain in the environment with an increasing demand in compute?
- Are you interested to find out about algorithm modernisation opportunities leveraging the latest modelling techniques on architectures, including Quantum computing to achieve a higher level of accuracy?
Aimed at CTOs, CIOs, CDOs, Heads of Analytics, Risk and Compliance in Financial Services organisations, the Webinar will cover HTC industry trends and the Cloud Native HTC Proposition from AWS and Data Reply
Why Attend?
The Reply / AWS Webinar will cover:
- Insights into industry drivers and trends
- How major financial services organisations are modernising their legacy HTC applications: Customer Case Studies and benefits achieved
- A Typical Customer Journey: challenges, considerations, options
- An algorithm modernisation scenario
- Reply HTC Offering on AWS
- An interactive Q&A session, giving you the opportunity to ask questions to our panel
About Reply:
Reply is a Premier Consulting & Managed Service partner, with 10 AWS competencies, including Financial Services, Machine Learning, Migration Consulting, and is part of the AWS ‘Well Architected programme’. Reply collaborates on HTC with main Universities and public research centres e.g. London Imperial Collage and Bocconi University. We have strong competences in Big Data Engineering, Data Science and IPA; we build Big Data platforms and implement ML and AI models in a manner that is repeatable, efficient, scalable, simple and yet secure. We support companies in combinatorial optimization processes with Quantum Computing techniques that enable an engine with high computational performances.
Speakers
