Why Context is King in AI for Manufacturing

Introduction There’s a lot of excitement around the potential of AI to transform manufacturing. And that’s because it can improve efficiency, optimize processes, and even lower costs. But there’s also a lot of hype and misinformation about how it works and what AI can do.  In this article, we’ll look at why context is king […]

Approaches to Industrial AI: Finding a Path to Scale

Approaches to Industrial AI: Finding a Path to Scale

Traditional approaches to AI in manufacturing end up as costly prototypes with little real-world impact. To achieve scale, a new type of solution is needed. It’s hard to explain. The manufacturing industry is one of the most natural candidates for driving value from artificial intelligence and machine learning. Manufacturing processes generate high volumes of semi-structured […]

AI-based Defect Detection – A Brief Overview

You don’t need us to tell you—faulty parts leaving the assembly line are bad news. Defects increase manufacturing costs, hurt product quality, diminish brand value, and generate industrial waste.

Multi-Defect Detection Study

Multi-defect detection during manufacturing processes is a vital step to ensure product quality. The timely detection of faults or defects and taking appropriate actions are essential to reduce operational and quality-related costs.  According to Aberdeen’s research, “Many organizations will have true quality-related costs as high as 15 to 20 percent of sales revenue.” Despite the importance, […]

Vanti’s Security Promise

At Vanti, security is a priority, which is why we use multiple measures to keep your data safe: Penetration testing. Vanti routinely performs penetration tests on all products and infrastructure. External security specialists conduct the tests, who provide real-time insights for quickly remediating risks and ensuring secure development. User access control. Vanti implements a reliable authorization and […]

A Breakthrough in High-availability ML in Production

A new approach to guarantee 0 down-time in production ML models. ML models are static, but data is dynamic and constantly changing. It’s just a matter of time before the model is no longer relevant, or even worse — starts making costly predictions. Why is Data Drift so dangerous? Let’s look at a simple example: […]