InfoQ Homepage Artificial Intelligence Content on InfoQ
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Preparing Humans for the Second Machine Age
Dominic Price prepares his listeners for the world of 2020, the role that AI, automation and robots will have, and what people should do to stay human and build an environment where they thrive.
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Data Science for Developers: The Big Picture
Matthew Renze discusses what data science is, why it’s important, and how to prepare for it. He covers IoT, Big Data, ML, and how they are converging to create fully-autonomous intelligent systems.
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Getting Data Science to Production
Sarah Aerni covers the nuts and bolts of the Einstein Platform, a system that enables the automation and scaling of Artificial Intelligence to 1000s of customers, each with multiple models.
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Evolve with Genetic Algorithms
Charlie Koster introduces genetic algorithms, what they are, what they are useful for, and demonstrates code that shows how to create and use them.
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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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Cognitive Services, Next Step in Creating Our Robot Overlords
Harold Pulcher discusses Cognitive Services, how to get started using them, and how to incorporate speech, image, and facial recognition into an application.
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The Practice & Frontiers of AI Panel
The panelists discuss where AI is heading and how it's affecting software today.
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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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Improving Both the UX and DX with White Box AI
Cloderic Mars discusses using white box AI to improve user and developer experience.
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AI as a Service at Scale: Retail Case Study
Eldar Sadikov discusses emerging applications of AI in retail, illustrating how Jetlore's machine learning rank technology is currently utilized to power millions of consumer experiences every day.
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AI in Medicine
Anthony Chang presents the past of AI in medicine, the current development status, and what to expect from the future.
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Fast, Scalable, Reusable: A New Perspective on Production ML/AI Systems
Ekrem Aksoy discusses why production ML/AI systems should have a different perspective than the usual DevOps perspective which works on data immune systems.
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