IoT and edge computing services

Transform your product design processes and personalization services with generative AI

Ideate, customize and prototype new product designs in seconds. Enable customers and marketing teams to personalize style, color, texture, and even environment and lighting.

Inventory allocation optimization for membership-based wholesale retailers

In the dynamic realm of supply chain and inventory management, where decisions shape the balance between profit and loss, inventory distribution stands out as a key driver of revenue growth. This white paper explores the strategic significance of optimizing inventory allocation, emphasizing its transformative power for businesses. The crucial role of inventory distribution High-performing supply

How explainable AI helped reduce warehouse order picking time by 1/4

This article discusses how a machine learning model was used to optimize the order picking process in a warehouse, resulting in a 23% reduction in average order picking time. The model predicted the order picking time based on the storage location of products, and suggested new storage locations to improve efficiency.

8 supply chain trends and strategies every manufacturer needs to know

Unlock supply chain excellence: 8 Gartner-approved trends & strategies for manufacturing business.

Manufacturing trends for 2024

How AI, connectivity, automation, security, resilience, and personalization are redefining the potential of manufacturing

Closing the loop: Integrating contract management and supply chain systems for future-ready manufacturing

Integrate contract management with supply chain systems with AI. Discover strategies to boost efficiency, decision-making, and reduce costs in manufacturing.

The rise of industry electrification in supply chain and manufacturing: Leveraging AI and digital capabilities

Discover industry electrification insights, trends, and actionable steps for sustainable adoption in the manufacturing supply chain. Download the white paper

Supply chain resilience: A modular framework for sailing through disruption

In this white paper, we introduce a modular, “lego brick” approach to supply chain digital transformation for resilience and the technology framework elements.

Quality 4.0: Reimagining AI-powered quality control for smart manufacturing

This whitepaper explores the benefits and implementation of AI-powered quality control in smart manufacturing, including anomaly detection, predictive maintenance, and visual inspection. It also discusses the technology foundations necessary for successful implementation.

Building a visual quality control solution in Google Cloud using Vertex AI

In this blog post, we consider the problem of defect detection in packages on assembly and sorting lines.

Visual quality control with AWS Lookout for Vision

Originally published on the AWS Partner Network blog Conveyor belts are an essential material handling tool for various industrial processes, and one of the most effective ways to quickly and continuously transport large amounts of materials or products. However, high throughput rates make it difficult for operators to detect defective products and remove them from

Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook

This blog post discusses the challenges of IoT data analysis for system health monitoring and provides a reference pipeline for anomaly detection using machine learning techniques. The pipeline includes training regression models, computing anomaly scores, and making binary decisions to detect anomalies in IoT data.

Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning

This article discusses a methodology for designing machine learning-based health monitoring systems for complex industrial systems. It emphasizes the use of hierarchical decomposition and one-class learning to address challenges such as high dimensionality, high data rates, and qualitative and quantitative inhomogeneity of sensor readings.

Anomaly detection in industrial applications: Solution design methodology

This article discusses the importance of anomaly detection in technical systems and outlines a solution design methodology based on the types and availability of labeled data. It highlights the pitfalls of using unsupervised methods and recommends the use of one-class learning approaches, even in situations where two-class labeling is available or no labeled data is present.

Visual quality control in additive manufacturing: Building a complete pipeline

Learn about an innovative visual quality control approach using synthetic data generation that holds significant potential for enhancing defect detection processes in additive manufacturing.

Anomaly detection for Industry 4.0

The article discusses the availability of a white paper that provides an overview of supported use cases, solution features, architecture, and deployment process for a particular solution.

Digital health integration: Bridging the gap between technology and care

Achieve 100% digital health integration with strategic steps for interoperability, customer-centricity, equity, value-based reimbursement, and AI/ML innovation

Harnessing IoT and AI for personalized and dynamic embedded insurance products

Discover how IoT and AI revolutionize embedded insurance. Achieve personalized coverage, real-time risk assessment, new revenue streams, & seamless integration

Software-led transformation of modern automobiles

Explore the transformative journey of modern automobiles, where software-led innovations reshape Electric Vehicles (EVs) and Hybrid Electric Vehicles (HEVs). Dive into the pivotal role of software, AI, and partnerships in creating connected, sustainable, and user-centric automotive ecosystems.

How cloud-based automotive experience engineering ensures integrated ecosystems for a superior ride

In the past decade, the automotive industry has witnessed a revolution, prioritizing an enjoyable and seamless user experience. Whether it’s EVs, internal combustion engines, or hybrids, performance and quality have become key value propositions of this automotive evolution. With embedded systems taking center stage, a vehicle’s value and success are now defined by its software,