RecoMind.io
AWS Personalize
Google Recommender API
Microsoft Azure Recommendations
Recombee
Amazon Monitron
Azure Machine Learning Service
Azure IoT Hub
AWS Greengrass
AWS IoT
Particle.io
Azure IoT Hub
ThingSpeak
AWS IoT 1-Click
Blynk.io
Azure IoT Edge
We increase the conversion of your e-commerce with AI Recommendations.
We offer a commission-based service, there is no upfront investment from your part, we only get a small fee when we get you a sale.
We have 4 modalities of recommenders: product recommendation (increase conversion), you might also like (increase chances of buying and up-selling), frequently bought together (cross-selling) and similar items (down-selling).
RecoMind.io AWS GreengrassNo RecoMind.io videos yet. You could help us improve this page by suggesting one.
Based on our record, AWS Greengrass seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / about 1 year ago
AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / almost 2 years ago
To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 2 years ago
In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 2 years ago
Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: almost 3 years ago
AWS Personalize - Real-time personalization and recommendation engine in AWS
AWS IoT - Easily and securely connect devices to the cloud.
Google Recommender API - Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
Microsoft Azure Recommendations - Predict what your customers want and increase catalog discoverability
Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
