Automation Depends on People
With each new innovation in society, we see corresponding headlines and public concern about how that innovation will be responsible for job loss. This has been true of the printing press, the automobile, and the computer.
5 Security Risks of Rushed Digital Transformation
Undergoing a digital transformation is necessary for many manufacturing businesses, especially when they must stay competitive in challenging market conditions. However, if the responsible parties rush things, they'll increase the likelihood of several security risks.
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.
5 Strategies for the Long-Term Preservation of Heavy Machinery
Over time, heavy machinery endures wear and tear before eventually breaking down. While replacing this equipment is a must, manufacturers can extend the life of their heavy machinery. Here are five strategies for long-term preservation.
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.
Achieving sustainable manufacturing with IoT technology
This article delves into how IoT solutions integrated into manufacturing processes can help achieve industrial sustainability.
How Automation-as-a-Service Combined with AI & AR/VR Is Benefitting Manufacturers
By integrating AR/VR (augmented reality and virtual reality), robotics, machine learning, and AI (artificial intelligence), AaaS solutions automate repetitive tasks, optimize processes, and facilitate data-driven decision-making.
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.
CLEANING UP AM'S DIRTY SECRET
The fact that post processing metal parts requires such intensive manual intervention throws up a series of follow-on problems. These include part-to-part quality inconsistencies, repetition fatigue, significant health & safety risks.
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.
Ultimate Customization - When Is It Justified for Enterprise Internet of Things?
To avoid choosing between the lesser of two evils, we offer to dive into cases where customization is fully justified and even more - when it's necessary for the EIoT solution to succeed.
The Data Revolution Is Transforming Manufacturing-Don't Fall Behind
Getting a robust, firing-on-all-cylinders data operation is a far less labor-intensive process than many seem to suspect, and the dividends it yields invariably outpace whatever effort is expended on getting it off the ground.
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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