InfoQ Homepage Financial Applications Content on InfoQ
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Protecting APIs in Financial Services with Zero Trust Overlay Mesh Networks
Clint Dovholuk reviews the three components of OpenZiti's architecture: controller, edge routers, and SDKs, in addition to diving into the internal physical and logical architecture of OpenZiti.
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From Runtime Efficiency to Carbon Efficiency
Michal Dorko discusses Goldman Sachs’s proprietary language, Slang, a core technology responsible for booking trades, quoting prices and analysing risk, among other use cases.
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LSEG Cloud Lessons Learned: after Nearly a Decade of Being Cloud-First, What Have We Learned?
Oli Bage shares LSEG’s organizational, economic and technical tips about the journey to cloud. He talks about the CDMC standard, and where analytics might head in the future.
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FINOS and Open Source in the Financial Services Industry
Elspeth Minty discusses the background of FINOS, introduces some of its projects and initiatives, and the importance of FINOS to open source in the financial services industry.
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A New Era for Database Design with TigerBeetle
Joran Dirk Greef discusses pivotal moments in database design and how they influenced the design decisions for TigerBeetle, a distributed financial accounting database.
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Panel: Challenges & Opportunities of the Modern Financial Institutions
Lucas Cavalcanti, Dio Rettori, and Camilla Crispim discuss the challenges and opportunities of modern financial institutions.
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Rampant Pragmatism: Growth and Change at Starling Bank
Daniel Osborne and Martin Dow discuss relational theory, functional relational programming and self-contained systems, explaining their approach to complexity.
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Evolution of Financial Exchange Architectures
Martin Thompson looks at the evolution of financial exchanges and explores what is considered state of the art today.
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Policing the Capital Markets with ML
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging.
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Counterfactual Evaluation of Machine Learning Models
Michael Manapat discusses how Stripe evaluates and trains their machine learning models to fight fraud.
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AI in Finance: from Hype to Marketing and Cybersec Applications
Natalino Busa illustrates a number of use cases of using AI and machine learning techniques in finance, such as transaction fraud prevention and credit authorization.
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Digital Assets: Lessons in Securing What’s Next
Rob Witoff recaps on the past several years at the largest cryptocurrency company in the world and explores technical infrastructure and security lessons learned that apply to what’s next in Fintech.
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