Category: *Post Types

Introduction Many organizations are using an external identity provider to manage user identities. With an identity provider (IdP), you can manage your user identities outside of AWS and give these external user identities permissions to use AWS resources in your AWS accounts. External identity providers (IdP), such as Okta Universal Directory, can integrate with AWS […]

Introduction Machine learning (ML) at the edge requires powerful edge requires powerful edge devices with a unique set of requirements. The availability, safety, and security requirements for the edge differ from cloud since they are located at the customer site, outside the data center, and interface directly with operational technology (OT) and the internet. Since […]

Introduction AWS IoT TwinMaker makes it easier for developers to create digital twins of real-world systems such as buildings and factories with the ability to use existing data from multiple sources. AWS IoT TwinMaker uses a connector-based architecture that you can connect data from your own data source to AWS IoT TwinMaker without needing to […]

Introduction Many modern industrial operations require extensive monitoring and real-time decision making for efficiency and safety reasons. To reduce the unexpected network interruption and delay in IoT data processing, edge computing becomes a desirable option for real-time IoT data processing and monitoring. Edge computing is a system of micro computing/storage devices that are installed at […]

Introduction In this second-series blog post, we will continue to showcase a user interface (UI) application at the edge with AWS IoT Greengrass V2, a jointly developed solution by AWS Partner, TensorIoT, and AWS Professional Services. This UI application at the edge contains multiple custom AWS IoT Greengrass V2 components to achieve flexible IoT data […]

Introduction In working with customers, we often hear of a desired Digital Twin use case to drive actionable insights through what-if scenario analysis. These use cases typically include operations efficiency management, fleet management, failure predictions, and maintenance planning, to name a few. To help customers navigate this space, we developed a concise definition and four-level […]

Introduction Automakers, fleet operators, and automotive suppliers are recognizing the potential of vehicle data to transform their business models and optimize their operations. However, implementing data-driven use cases is often challenging. Proprietary vehicle data formats, high costs of data ingestion and implementation complexity can slow down innovation. AWS IoT FleetWise is a service that makes […]

Introduction Industrial organizations are facing a new challenge as they try to merge the traditional physical world (Operational Technology or OT) and the digital world (Information Technology or IT). In our experience, companies who prioritize organizational change management when implementing digital solutions get better results from their investments. This is even more true when building […]

Introduction Widely adopted Internet of Things (IoT) communication standards for device-to-cloud and cloud-to-device are typically asynchronous, enabling event-driven patterns to ensure resilience, cost savings, and failure tolerance. However, customers across industries need to enable synchronous communication patterns to ensure time-critical logic in their edge devices. Automotive manufacturers, for example, want their connected vehicles to be […]

Introduction Developing an IoT device or client can be a significant undertaking. Development efforts, ranging from design, prototyping, testing, quality assurance and more, can take months, if not years. Improving the development velocity and agility is obviously attractive for product cost and time-to-market. However, any acceleration should not compromise on quality, and deliver a device […]