InfoQ Homepage Presentations
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Michelangelo Palette: A Feature Engineering Platform at Uber
Amit Nene and Eric Chen discuss the infrastructure built by Uber for Michelangelo ML Platform that enables a general approach to Feature Engineering across diverse data systems.
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Instrumentation, Observability & Monitoring of Machine Learning Models
Josh Wills discusses the monitoring and visibility needs of machine learning models in order to bridge gaps between ML practitioners and DevOps.
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Why Our Work Isn't Used!
Melanie Franklin uses examples from neuroscience to explain resistance to change, explaining why new ideas are ignored and the techniques to use to ease change adoption.
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Life of a Distributed Graph Database Query
Teon Banek describes the life of a query in Memgraph following the process from reading a query as a character string, through planning and distributed execution of query operations.
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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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The (R)evolution of a Portfolio Wall
Anna Miedzianowska and William Peck discuss the evolution of the Portfolio Wall at Ocado, lessons learned and mistakes to avoid.
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Love the Brain You’re in
Kate Gray and Chris Young discuss the science of the brain for people to work better together, and have a more satisfying and enjoyable life.
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How to Navigate out of Hell
Katherine Kirk shares a condensed version of what she’s picked up from Buddhist monks and nuns that she applies in large global organizations to overcome tough delivery scenarios.
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Habito: The Purely Functional Mortgage Broker
Will Jones talks about Haskell at Habito, some of the wins and trade-offs. He also talks about why functional programming is beneficial for large projects, and with migrating a data store.
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Balancing Risk and Psychological Safety
Andrea Dobson focuses on understanding the principles of the learning organizations, who can benefit, how to implement, and covers risks, pitfalls and effects of the learning organizational culture.
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The Future of Operating Systems on RISC-V
Alex Bradbury gives an overview of the status and development of RISC-V as it relates to modern operating systems, highlighting major research strands, controversies, and opportunities to get involved
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Privacy: The Last Stand for Fair Algorithms
Katharine Jarmul discusses research related to fair-and-private ML algorithms and privacy-preserving models, showing that caring about privacy can help ensure a better model overall and support ethics
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