InfoQ Homepage Keynote Content on InfoQ
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#FAIL
Kevlin Henney keynotes on some of the failures that people had in various projects and the lessons to be learned from them.
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Futurework: Managing Complexity with Simplicity
Doug Kirkpatrick explores the lessons learned from the journey of vanguard companies as they go through organizational self-management.
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Big Data's Ethical Drought: The Thirst for More Data Has Led to a Lapse in Ethics and Privacy
Katharine Jarmul provides examples of data (mis)use and asking how we can work with data without violating the trust and privacy of users, producing an ethical product?
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Evolutionary Architecture
Rebecca Parsons discusses traditional approaches of evolutionary architecture showing how to use fitness functions and transition to an evolutionary architecture even in the face of legacy systems.
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Building and Scaling High Performing Technology Organizations
Jez Humble presents the results from DevOps Research and Assessment's research program, including how CD and good architecture produce higher delivery performance, and how to measure culture.
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F# Code I Love
Don Syme keynotes on examples of F# code he loves and why. He also touches language design, functional programming, object programming, language features and functional-first programming.
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Artificial Pancreas System: #WeAreNotWaiting in Healthcare
Dana Lewis discusses open source innovation in unexpected places and how we can democratize data (and innovation processes) to enable more people to solve the most pressing problems in their lives.
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Ignite the Fire - How Managers Can Spark New Leaders
Nick Caldwell discusses the three ingredients for inspiring non-manager leaders to emerge and provides simple techniques any team member can apply.
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No Moore Left to Give: Enterprise Computing after Moore's Law
Bryan Cantrill talks about Moore's Law, which after years of defying predictions of its demise, is now dying. But what does the end of Moore's Law mean for practitioners of enterprise computing?
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Learning from Machines
Ashi Krishnan discusses biological and artificial minds, exploring how models of cognition informed by ML and computation can help reconfigure processes of being.
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How to Create a Data Science Product from Scratch?
Dmytro Bilash discusses the top five biggest challenges in creating a data science product, compares a product for one client and a scalable one for the whole market, and how to be successful.
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Quality Engineering in DevOps
Geoffrey van der Tas keynotes on testing in the DevOps world, covering practices to keep, habits to forget, new things to learn, and the need for manual testing.
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