IoT and edge platforms
Filters
Filter by
Harnessing IoT and AI for personalized and dynamic embedded insurance products
Software-led transformation of modern automobiles
Exploring the transformative impact of generative AI in manufacturing
5-step strategy for IT/OT cloud cost optimization in manufacturing
Visual quality control in additive manufacturing: Building a complete pipeline
IoT platform: A starter kit for Azure
Smart manufacturing: Navigating change management, automation, and governance in the cloud
Building a visual quality control solution in Google Cloud using Vertex AI
Building an IoT platform in GCP: A starter kit
IoT platform: A starter kit for AWS
Visual quality control with AWS Lookout for Vision
Building a predictive maintenance solution using AWS AutoML and no-code tools
AI-powered risk prevention in the P&C insurance industry
How anomaly detection, predictive maintenance, and visual quality control save time and money
How insurtechs are transforming the insurance industry
Quality 4.0: Reimagining AI-powered quality control for smart manufacturing
Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook
Smart manufacturing from the factory floor to the customer’s door
Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning
Grid Dynamics analytics platform for smart manufacturing: A Jabil case study
Top 3 manufacturing trends in 2022: Accelerating smart manufacturing
Anomaly detection in industrial applications: Solution design methodology
Loss prevention with AI-powered IoT analytics platform on AWS
Add anomaly detection to your data with Grid Dynamics starter kit
Discover our
key insights
Data as a product: The missing link in your AI-readiness strategy
Reimagining product discovery ROI with Google Cloud
Digital dressing rooms: How generative AI is redefining virtual try-ons
Revolutionizing tire parameter recognition for a leading automotive manufacturer
