Episode 142: AWS Talks Cloud Adoption in Capital Markets

This week, Scott Mullins, worldwide financial services business development lead at Amazon Web Services (AWS), joins the podcast to discuss how capital markets firms are embracing public clouds, how they will look to differentiate themselves as costs come down while capacity increases, and how clouds can help in the evolution of artificial intelligence (AI) tools. But before that, Anthony and James look at how Orbital Insight will deploy a platform-as-a-service (PaaS) model and how Trading Technologies will launch an order management system (OMS) in 2019. In the News 2:30 As Orbital Insight expands the number of retailers it tracks and adds geolocation data to its offering, it will eventually deploy a PaaS model for do-it-yourself geospatial analytics. https://www.waterstechnology.com/connectivity-networks/data-delivery-technologies/3922846/orbital-insight-expands-telemetry-footprint-considers-new-delivery-service 7:30 Trading Technologies has announced the 2019 launch of an OMS designed for sell-side traders. https://www.waterstechnology.com/trading-technologies-and-strategies/oms-ems/3922821/trading-technologies-preps-oms-launch-for-2019 AWS 14:00 It’s taken some time, but capital markets firms are fully embracing public cloud offerings, most notably with AWS, Microsoft Azure, Google Cloud Platform and IBM Cloud. What’s changed? 17:30 What’s the end state for capacity and cost? As capacity increases and cost decreases, how will cloud providers differentiate themselves? 20:00 NYSE Technologies and Nasdaq FinQloud both tried to create cloud platforms specific to the capital markets, but they never quite took hold. Why weren’t capital markets firms able to create something on their own? 22:30 Where do firms go wrong when creating a cloud strategy? 26:30 How are firms deploying the cloud across the front, middle and back offices? 29:30 Should public cloud providers be labeled as Systemically Important Financial Market Utilities, similar to a clearinghouse? 33:00 How can a cloud environment help in the development of machine learning? 27:30 What’s down the road that might be revolutionary as it pertains to the cloud?