Joe McKendrick

Industrial AI is enhancing automation, predictive maintenance, and quality control, leading to improved efficiency and cost savings.

Researchers are looking to use a heterogenous group of digital twins agents who replicate the various differences and nuances between actual humans.

Factory managers need reliable data to drive real-time analytics and AI-driven insights of their manufacturing operations.

The right-to-repair movement presents an opportunity for technology manufacturers to redefine their relationship with consumers as a preferred service provider.

The technology will likely have use in industrial automation and robotics applications that rely on computer vision.

Urban planners are focusing on a citiverse concept that includes elements of smart cities and digital twins.

Analyzing moving images represents another step in the ability to deploy AI in applications or systems requiring situational awareness.

Electrical digital twins empower utilities to optimize grid performance by providing a unified data repository, ensuring seamless automated data exchange between internal and external systems.

As more manufacturing systems digitize, AI can help address many of the vulnerabilities as OT systems are exposed to a wider world.

The slow pace of digitization was tracked in a survey of 600 executives published by Parsec Automation. The survey found that only about one-third (32%) say they have completed their digital transformation initiatives.

AI agents offer a way to move beyond batch-processing systems, which are often used to get structured data into data pipelines.

Modern gaming systems, which employ real-time graphics, ray tracing, and user interface technology, are driving new innovations in real-time processing.