InfoQ Homepage Internet Of Things Content on InfoQ
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Chaos: The Last Stand against Our Robot Overlords
Nathan Äschbacher talks about Chaos Engineering and how to shift towards working with chaos instead of against it, in order to build safe, reliable, and increasingly deterministic complex systems.
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$200 Self-Driving Cars with RasPi and Tensorflow
William Roscoe and Adam Conway build and drive the $200 open source self driving Donkey Car and talk about about the hardware components & software that let it drive, capture data, create autopilots.
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Architecting IoT Data Ingestion with Azure Data Services
Mike Benkovich explore the Azure Data Services, explaining the differences between them and showing how to architect an IoT ingestion system in the cloud.
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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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The Making Mindset: Prototyping Your Way to Better IoT Experiences
Adrian Taylor discusses how creating user experience artifacts early and often can help focus development while reducing risk.
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A Cloud-centric Ecosystem Approach to Ease IoT Development
Yujing Wu discusses two use cases of a cloud-based IoT ecosystem that enables IoT device communication across silos and interoperability across different vendors.
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IoT and Microservices in the Home
Fred George explores the use of asynchronous microservices to implement a home IoT environment of heterogeneous devices, including lights and motion sensors on a J2ME-like environment.
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How the Adoption of IoT Will Shape the Future of Corporate Learning
Sanjay Parker explores how IoT will impact corporate education and learning beyond 2020, and how IoT can fuel knowledge and learning for organizations.
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Interpreting the Language of Devices in the Wild
Brad Unruh discusses machine instrumentation, data capture and interpretation approaches from a leading supplier of infrastructure and industrial machinery.
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Enabling High Performance Real-time Analytics for IoT Environments
Mahish Singh discusses how to use methodologies during design, development, deployment and operation for delivery of analytics platforms which offer real-time SLAs.
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Solving Business Problems Using IoT
The panelists discuss various ways IoT can help solve business problems.
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IoT for Big Machines
Jayant Thomas discusses Predix, GE’s IoT Cloud, and how one can use anomaly detection on an IoT cloud and scale it up for multiple industrial assets to provide insights about the big machines.
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