InfoQ Homepage Presentations
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Applying Machine Learning to Financial Payments
Tamsin Crossland discusses how ML can be applied to Payments to respond rapidly to known and emerging patterns of fraud, and to detect patterns of fraud that may not otherwise be identified.
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The What, the Why and Some How of Wardley Mapping - a Conversation with Simon Wardley
Simon Wardley and Shane Hastie discuss what Wardley Mapping is, where the ideas came from, and how they can be applied in real-life situations.
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The Shu Ha Ri Path of Mastery to Being Agile
Ritika Singh relates the concept of shu-ha-ri with Agile, how the martial art technique could be related and is efficient in practice.
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Dynamic Creation of Well-Typed DSL Expressions
Pieter Koopman shows how to make dynamic editors for complex user inputs in iTask programs using dynamic types.
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Four Questions to Ask Your Dev Team
Hannah Foxwell and Jérôme Wiedemann offer four questions to start the dialogue between Platform Teams and Application Teams.
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Square Pegs, Square Holes: CI/CD that Fits
Cora Iberkleid and Madhav Sathe discuss how to overcome the entry barrier to put modern CI/CD into practice.
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Panel: the Correct Number of Microservices for a System Is 489
The panelists discuss the architecture of their various systems, what trade-offs they have made in the design of their systems, and how their system has evolved over time.
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The Fast Track to AI with JavaScript and Serverless
Peter Elger explores how to get started building AI enabled platforms and services using full stack JavaScript and Serverless technologies.
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The Modern Platform in 2020
Justin Cormack gives an overview of how the programming language technology is finding its way into every technology stack.
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Image Formats, Performance and Cognitive Load
Tobias Baldauf discusses how to optimize and deliver images for maximum effectiveness.
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The Making of Your Digital Strategy
Philippe Guenet is an interactive session helping you find the why of working Agile and sharing patterns for setting up a Digital Strategy.
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Is Machine Learning the Right Tool?
Brian Korzynski discusses when and where using machine learning will fit within projects.
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