InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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Polyglot Persistence Powering Microservices
Roopa Tangirala takes a look at Netflix’s common platform used to manage, maintain, and scale persistence infrastructures, sharing the benefits, pitfalls, and lessons learned along the way.
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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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ML for Question and Answer Understanding @Quora
Nikhil Dandekar discusses how Quora extracts intelligence from questions using machine learning, including question-topic labeling, removing duplicate questions, ranking questions & answers, and more.
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Monitoring Modern Architectures with Data Science
Dave Casper talks about how modern data science and algorithms are being applied to "fight machines with machines".
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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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Handling Billions of Edges in a Graph Database
Michael Hackstein discusses graph databases, the current scalability problems and their solutions.
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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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Production Machine Learning
Jan Machacek discusses the challenges in writing deep learning code, testing and validating data management, environments, model storage & serving, validating data reporting, and CI&CD.
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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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Panel: SQL over Streams, Ask the Experts
The panelists discuss the new generation of Stream Processing engines.
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The Joy of Stochastic Gradient Descent
Carin Meier takes a look at the joys of Deep Learning, discussing how Deep Learning is changing how people approach programming, communicate with each other, and even what it means to be human.
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