Artificial Intelligence Taking Off for Airbus
In an increasingly competitive and innovative landscape, can Airbus use machine learning to improve efficiency while not sacrificing on safety?
Manufacturing
Open Innovation Startup Quirky Couldn’t Crowdsource Its Way to Success.
Quirky launched in 2009 to make the invention of consumer products more accessible. Open innovation helped usher in ideas from the masses and some would argue that crowdsourcing led to the company’s untimely demise.
Boeing: Additive Manufacturing Adding Enough?
Boeing is a leader in implementing 3d printing processes on commercial airliners. But are they leveraging the benefits of 3d printing enough to reduce costs and manufacture more efficiently?
Additive Manufacturing at GE Aviation
Can jet engine parts really be made from powder? General Electric certainly thinks so.
Adding Value across the Value Chain — Additive Manufacturing at Siemens
Siemens is leveraging additive manufacturing to create value across its value chain — from equipment manufacturing to repair, maintenance, and services.
Smart from start to finish: GM’s path to new processes and products
General Motors uses intelligent assembly lines to manufacture the intelligent cars of tomorrow
Machines Learning: Caterpillar Inc.’s Metamorphosis into Big Data
Introduction: Today, there are 560,000 “connected” Caterpillar machines – from back-office forklifts to high-powered 50-ton excavators – that have been outfitted with connectivity solutions designed to cut costs and drive productivity for customers. [1] Caterpillar, the leader in machinery innovation […]
Bridgestone: Production System Innovation Through Machine Learning
Increasing product quality while reducing costs through higher productivity leveraging machine learning technology
SUALAB: Deep Learning For Flexible Operation In Traditional Manufacturing
Shifts in the consumer demand are pushing the traditional manufacturers to be more efficient than any other times before. SUALAB is using machine learning on vision inspection to help those manufacturers fulfill the new demand and maintaining control over costs.
Machine Learning: Schneider Electric Positions Itself to Lead Digital Transformation of Infrastructure
Demand for applying digitization and machine learning to current operations has increased significantly for manufacturing companies today. Can one company expand its reach to help all industries reach their goal of digital transformation?