Machine Learning

"Pink-toned graphic set against a Delta robotic arm on a factory workbench, showing a neural network diagram of connected nodes labeled ML model, with dotted lines branching out to four labeled panels: Supervised learning, Computer vision, Forecasting, and Anomaly detection, with a footer stating machine learning applications in manufacturing, grouped by the method behind them"

How to Read Welding Symbols on a Fabrication Drawing with AI

"Pink-toned graphic set against a background of three colleagues collaborating around a laptop in a workshop, showing a horizontal timeline connecting three stage labels: Custom order, Engineering plus BOM, and Build plus deliver, with two supporting labels below reading Quote before design and Project plan, a central caption stating one record equals from enquiry to delivery, and a footer noting engineer-to-order software prices and plans a custom job before the design exists"

Engineer-to-Order Software: A Buyer’s Guide for Custom Manufacturers

"Pink-toned graphic set against a background of a man viewing CAD software on a monitor, showing a wireframe cube annotated with a hole callout Ø25 H7, material S355, and a surface finish checkmark Ra 1.6, labeled one .STEP file, with connecting lines to three panels reading semantic PMI machine-readable, and 3D geometry and materials, and a footer stating STEP AP242, one file for 3D geometry and manufacturing information, no separate drawing, ISO 10303-242"

STEP AP242 and PMI Explained: The File Format Behind Model-Based Manufacturing

"Pink-toned graphic titled impact across the business, set against a factory production line background, showing an AI hexagon icon with dotted lines connecting to four labeled panels: Economic, higher margin per part produced; Operational, less unplanned downtime; Workforce, skilled work with fewer repetitive tasks; and Environmental, lower energy and material waste, with a footer stating 92% of manufacturers see AI as their top driver of competitiveness"

The Impact of AI in Manufacturing: How It Is Reshaping the Industry

"Pink-toned graphic titled Steel Fabrication Estimating Software, set against a background of a welder working amid sparks, showing an estimate panel with an I-beam icon breaking down cost bars for material by weight, cutting and drilling, welding and fit-up highlighted as the longest bar, connections, and a total quote, a speech-bubble callout reading labour drives cost and not weight pointing to the welding and fit-up bar, and a footer stating automated takeoff can cut steel estimating time by up to 90 percent"

Steel Fabrication Estimating Software: A Buyer’s Guide for Structural Steel Shops

"Pink-toned graphic titled Machine Learning in Manufacturing, subtitled proven examples and the methods behind them, set against a background of an industrial laser sensor and circuit boards, showing a flow from a data in box listing sensors, images, drawings, orders into an ML model hexagon, branching down to three example cards: BMW Regensburg using computer vision achieving 1,400 cars a day, ZF Friedrichshafen using predictive maintenance on sensor data, and Siemens Erlangen using digital twins achieving 69% more productivity, with a footer stating around 16% of German industrial firms already run intelligent systems in production, Fraunhofer ISI, 2024"

Machine Learning in Manufacturing: Examples & Methods

"Pink-toned graphic set against a factory hangar background, headed by an ML icon with the text trained on the data you already collect and a badge reading 10 use cases, listing six machine learning applications: predictive maintenance for fewer breakdowns, quality inspection to catch defects early, process optimisation for higher yield, demand forecasting to plan with less guesswork, supply chain management to avoid delays, and energy optimisation to cut cost and carbon, with a footer stating around 16% of German industrial firms already run intelligent systems in production, Fraunhofer ISI, 2024"

Machine Learning Use Cases in Manufacturing: 10 Examples With Case Studies

A picture of a learning path and Krzysztof Radecki CTO who explains basics of agentic ai

What Are AI Agents? A Practical Guide to LLMs, Tokens, and Memory

Engineer in a hard hat reviewing a technical floor plan on a monitor in an industrial facility

Agentic AI in Industrial Automation – The Most Common Use Cases of AI Agents in Industry

What Is a Data Labeling Strategy?

Machine Learning Outsourcing: Here’s When It Makes Sense

AIOps: Artificial Intelligence for IT operations

MLOps and AIOps – How DevOps Influenced AI and ML Development

Edge AI – Best Practices for Efficient Deployment

Using Depth-Enhanced Segmentation in Forestry: A Practical Approach to Cost Saving, Preservation and Accuracy

7 AI Solutions for 7 Wastes of Lean Manufacturing