Eckert & Ziegler Introduces Augmented Reality to Increase Customer Satisfaction by 30%

Visual remote assistance, or remote assistance in person, provides companies with a new way to organize their teams' work. With an increased number of work-from-home methods, this new reality has helped companies increase their productivity by 30%.

Advancing Industry 4.0 with AI

AI can provide superpowers to operators. But that can only happen if it's highly accessible and manageable. We give engineers purpose-built engineering solutions that augments their work.

How Wireless Technology Has Experienced (And Continues to) Change

Wireless has been shaped by three major technological breakthroughs in the last 15 years: Bluetooth Low Energy (BLE), Low-Power Wi-Fi, and lower-consumptive cellular technology (specifically, two branches: LTE Cat M1 and LTE Narrow Band IoT).

Expanding US-based Additive Manufacturing Services

Fictiv's robust digital supply chain infrastructure is growing every day. We have a highly vetted network of US-based additive manufacturing partners like Jabil Additive that enable customers to get the highest quality 3D printed parts delivered quickly

Sonar Systems Manufacturer Cuts Material Planning Time by 90% with MRP Software

Marine navigation device manufacturer FarSounder turned to MRP software to help with the complexities of inventory management and procurement.

Companies Collaborate to Build Giant Guitar Installation in Liverpool

Diamond Precision Engineering was tasked with making a giant guitar to mark the 80th birthday of Sir Paul McCartney.

Why the Conventional Deep Learning Model is Broken

The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line. Here, Karina Odinaev explains why the conventional deep learning model is broken and what the alternatives are.

Smarter Manufacturing: Improving Safety and Efficiency With The IoT

Wireless connectivity enables manufacturers to more easily rearrange their production facilities to meet specific needs, minimizing costly downtime between production runs for multiple clients.

Unleashing the Potential of Generative AI for Unprecedented Success in the Manufacturing Industry

By leveraging Generative AI, manufacturers can initiate a wide array of use cases in areas such as customer service, product and quality control, supply chain, logistics, predictive maintenance, marketing and sales, finance, compliance and legal, and research and development

Why 3D Metal Printing Is Key to the Future of Aerospace Engineering

The aerospace industry constantly pushes the boundaries of what's possible, and the demand for advanced manufacturing techniques has never been more critical. This pursuit of innovation has led to a significant shift toward 3D metal printing.

10 Areas Manufacturers Might See an Impact from AI

AI can be programmed to learn from the data ERP software gathers to make deeper and more accurate predictions regarding customers, buying habits, inventory levels, markets, material purchasing and more.

Strengthening Cybersecurity in Manufacturing: The Path to a Defensible Architecture

Manufacturing is at the forefront of technological advancements, leveraging operational technology (OT) to streamline processes and improve productivity. However, this digital transformation comes with its fair share of cybersecurity challenges.

Transforming Logistics and Warehousing

The logistics industry, like many others, is focusing more and more on meeting sustainability goals. This is why we can expect companies to prioritize eco-friendly solutions to address their carbon footprint.

How Investments in Supply Chain Technology, Analytics and Visibility Strategies Can Improve Manufacturing Organizations

It's crucial to prioritize data management before jumping into implementing analytics. Because different departments and processes produce different data types, a common data language is a good place to start to help structure the data and break down silos.

The Use of Gearboxes in Warehouse Automation

It's crucial to prioritize data management before jumping into implementing analytics. Because different departments and processes produce different data types, a common data language is a good place to start to help structure the data and break down silos.

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