Category: Analytics

Introduction Building an IoT device for an edge Computer Vision and Machine Learning (CVML) solution can be a challenging undertaking. You need to compose your device software, ingest video and images, train your models, deploy them to the edge, and manage your device fleet remotely. This all needs to be performed at scale, and often […]

On December 5th, 2023 Twilio announced the End of Life (EOL) of their Programmable Video product. This abrupt offering discontinuation has forced many customers to explore alternative options for running smart camera or video streaming solutions. In this blog, we will highlight some considerations that customers can utilize as guidance to shape their migration strategy. […]

With the growing adoption of Internet of Things (IoT) applications in regulated industries, such as healthcare, hardening IoT security devices has become a requirement. In addition to ensuring that backend systems are resilient, organizations increasingly invest effort to secure devices outside the traditional enterprise perimeter with zero trust principles. For example, fleet operators for connected […]

Introduction According to industry researcher IHS Markit, the estimated number of IP cameras deployed worldwide was approaching 1 billion by the end of 2021, and according to Gartner’s Emerging Tech: Revenue Opportunity Projection of Computer Vision report, enterprise computer vision (CV) software, hardware and services in key markets is expected to generate global revenue of […]

This blog post introduces a real-world use case from Internet of Things (IoT) service providers that use Disaster Recovery for AWS IoT to improve the reliability of their IoT platforms. IoT service providers, especially those running high-reliability businesses, require consistent device connectivity and the seamless transfer of connectivity configurations and workloads to other regions when […]

Internet of Things (IoT) devices generate data that can be used to identify trends and drive decisions in the cloud. Designing a scalable ingestion technique is a complex task and the first step is to understand the behavior expected from the device: how is the device sending data and how much, what pattern does the […]

Introduction Designing and developing a cost-efficient, cloud-connected video platform for surveillance cameras and smart home devices require developers to architect and integrate a streaming service capable of ingesting, storing, and processing unstructured media data at scale. The infrastructure behind such a platform needs to handle large volumes of predicated data load along with the flexibility […]

Introduction Building a resilient path to post-pandemic recovery requires adaptability to dynamic trends. Therefore, many logistics leaders use predictive analytics to drive supply chain decisions, improve internal operational processes, meet regulatory compliance, and reduce transportation maintenance costs. Use cases for advanced predictive analytics in logistics include transportation management, fleet management, last-mile delivery, and visibility into […]

Introduction When sending data from Internet of Things (IoT) devices to a data lake, you may need to enrich the device data payload with additional metadata in the cloud for further data processing and visualization. There are multiple reasons this data might not exist in the device payload, such as minimizing the device payload in […]

AWS IoT VP, Yasser Alsaied, talks IoT strategy, commitment, and outlook Introduction The future of the Internet of Things (IoT) has been a topic of ongoing discussion and speculation. With implications for IoT hyperscalers, vendors, and customers alike, the landscape is rapidly evolving. To shed light on this topic, I spoke with Yasser Alsaied, vice […]