The AI Imperative: Crafting Your Manufacturing Future
How does a business begin to build a compelling AI case? It starts with a problem worth solving. Here is how businesses can leap onto the AI train with a strategy that is as pragmatic as it is ambitious.
AI Capabilities Your Manufacturing Organization Likely Hasn't Thought About
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Aside from its data-rich mining and productivity enhancements, AI can provide advantageous returns to further aid and elevate day-to-day processes.
A Packaging Look-Ahead for 2024 and Beyond
As packaging converters and their brand/retailer clients look to the future, there are four key areas of focus that are getting a lot of attention: Artificial Intelligence, Sustainability, Automation, and Hiring and Retaining talent.
Industrial AI begins: Curse or blessing?
Artificial Intelligence has emerged as a transformative force in industry. Its applications in automation and predictive analytics have reshaped traditional workflows, paving the way for more efficient across multiple sectors.
The secret lives of manufacturing defects - How defects pass through the system undetected
Here Zohar Kantor, chief revenue officer at quality inspection pioneer QualiSense, traces how defects enter the manufacturing process and avoid detection.
Using AI to Fill Blind Spots and Revolutionize Manufacturing Processes
One of the biggest pain points in the manufacturing industry is that most processes are not instrumented, resulting in upwards of 75% of digital blind spots. This lack of visibility on the shop floor leaves manufacturers without a complete data picture.
DOOMSDAY CLOCK REMAINS AT 90 SECONDS TO MIDNIGHT
"Make No Mistake": Clock Freeze No Indicator of Stability; Bulletin of the Atomic Scientists Cites Wars, Multi-Dimensional Nuclear Threats, Failures to Address the Climate Crisis, Bio-Threats, and Artificial Intelligence.
Why Automated Optical Inspection Is a Winner in PCB Quality Control
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Excelling in PCB quality control is a meaningful way to maintain competitiveness despite these conditions. Many decision-makers have increasingly invested in automated optical inspection (AOI) at their facilities. This approach leads to numerous benefits.
Manufacturing the future: How plants can harness the power of AI
AI can augment human labor and decision making at every stage of the manufacturing process. It can manage logistics, predict maintenance needs and ensure products meet quality standards.
This 3D printer can watch itself fabricate objects
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Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn't use before.
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.
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
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.
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
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.
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