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Making IoT Data Valuable

Firms can make IoT data more valuable asset by building data pipelines that make data more available and easier to use in analytics. This article will present how companies can make IoT data a better performing asset.
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3 Things to Know Before Building and Deploying an IoT Device

IoT lives in a complex ecosystem. IoT devices often cast some confusion. When building out a new IoT device, know these three fundamentals.
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Cloud-Native Environments: A Challenge for Traditional Cybersecurity Practices

"The Cloud" doesn't exist: It is just a marketing buzzword which hides tens of thousands of racks in data centers filled with servers. In this real-world, security responsibilities remain very concrete but need to be approached and organized differently.
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How to Connect an iOS App to AWS IoT

This post describes how to connect an iOS app via MQTT (websocket) to AWS IoT, without requiring users to be authenticated with AWS Cognito or generating unique X.509 certificates in each distribution of the app, using AWS Amplify or requiring a awsconfiguration.json file in the project.
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MQTT — Deep Dive

This article is a deep dive into MQTT, its history, its optimal use case and its future.
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LTE CAT M1: The Sweet Spot for IoT Connections

This article explains LTE CAT-M1 in relation to its competing technologies and examines some of the pros and cons of each. It argues that even with 5G looming, CAT-M1 will remain a sweet spot for IoT connectivity.
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Design Practices: AWS IoT Solutions

The Internet of Things (IoT) presents an unparalleled opportunity for every industry to address their business challenges. With the proliferation of devices,...
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Designing Scalable IoT Solutions on AWS

Building IoT solutions on AWS's platform enables you to focus on core business needs without the hassle of infrastructure management and monitoring. Here's your guide to designing and implementing scalable IoT solutions on AWS.
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Handling Concept Drift at the Edge of Sensor Networks

The relationship between input parameters and output characteristics changes over time, creating concept drift. To ensure your machine learning algorithms use the best data, understanding how to correct for concept drift is essential.
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Will IT Soon Stop Caring About Infrastructure?

Infrastructure has always been talked about in IT, but will recent innovations in cloud, containerization and serverless change that forever?

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