InfoQ Homepage Keynote Content on InfoQ
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Bias in BigData/AI and ML
Leslie Miley discusses how inherent bias in data sets has affected things from the 2016 Presidential race to criminal sentencing in the United States.
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How to Make a Spaceship
Julian Guthrie and Dan Kreigh tell the story of the Ansari X-Prize and discuss the construction/testing of the bullet-shaped SpaceShipOne.
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Why Isn't Lean/Agile/Scrum/DevOps The Way We All Work and What Comes Next?
Adam Yuret discusses what real-world pressures are, preventing organizations from achieving what Lean and Agile approaches promise.
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Welcome inside the Head of Larry Wall
Larry Wall is interviewed by Joe Armstrong to find out what goes on inside the head of a programming language designer. Is there a method to use when designing a new language?
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Becoming Fully Buzzword Compliant
Trisha Gee overviews the current technical landscape and presents a survival guide for those who want to stay ahead in this changing industry.
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Making the World Smarter – One “Thing” at a Time
Anand Oswal keynotes on the IoT landscape, from the edge to the cloud, enterprise to consumer IoT, fog computing and the wave of new applications that are set to launch the 4th industrial revolution.
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The Technologist’s Guide to Hitchhiking
Seb Rose keynotes on the role of serendipity in a developer’s career, how to loosen up and how to make one’s own luck.
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The State of AI
Jim McHugh keynotes on the current state of artificial intelligence.
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Hypermedia Myths and Misconceptions
Glenn Block discusses the truth and myth beyond some beliefs: the web was built for hypermedia, there is no REST without hypermedia, hypermedia is the magic cure for all API ills, etc.
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Don't Put Me in a Box
Antony Marcano takes you on his Extreme Programming journey, highlighting how some job titles may limit your agility.
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Impact of Machine Learning Systems in Industries
The panelists discuss the impact machine learning is having on various industries.
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ETL Is Dead, Long Live Streams
Neha Narkhede shares the experience at LinkedIn moving from ETL to real-time streams, the challenges of scaling Kafka to hundreds of billions of events/day, supporting thousands of engineers, etc.
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