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.
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.
Running on fumes? AI isn't possible without proper data management
Board members and C-suite executives are asking when AI pilot projects can begin, with a preference for a start date of yesterday. Meanwhile, the plant floor reality is nowhere near ready for AI.
Artificial Intelligence: Mitigating Inflation in the Manufacturing Industry
In this blog article, we delve into how AI can counteract inflation, offering robust solutions to the complex challenges of today's manufacturing industry.
Data Guys Versus Production Pros - Who is the Best Person to Train AI Programs for Defect Detection?
Artificial intelligence has the potential to deliver game-changing results for quality inspection and defect detection. However, until now the process of training the model has proven problematic.
Why Visual AI Inspection Is Essential for Detecting PCB Defects
Artificial intelligence (AI) can help manufacturers handle quality control while managing larger volumes. Here are some compelling reasons people use visual inspection AI tools in modern production facilities.
Utilizing AI in the Manufacturing Space
Our goal is to simplify AI so organizations can start deploying new technologies to save time and money. What we offer is a platform of AI and vision-based inspection and traceability apps that are easily customized
IoT in Manufacturing: Seizing the Opportunities Amid Challenges
Now more than ever, manufacturers are integrating new technologies, such as IoT, cloud computing and analytics, and AI and machine learning into their production facilities and operations.
AI and AM: A Powerful Synergy
Artificial intelligence applied to designs of additively manufactured products goes beyond standard optimization to produce dramatic quality and performance gains in much less time
Enhancing Safety Standards in Manufacturing Environments with Vision AI
This piece delves into Vision AI's pivotal role in reshaping safety paradigms in manufacturing. But before we dive in, let's first decode the workings of Vision AI.
Building Trust in AI/ML: The Key to Unlocking its Potential in Manufacturing
Manufacturers are adopting AI/ML to increase efficiencies and cut costs. Using AI/ML to monitor and analyze plant operations reveals production chokepoints, potential equipment failures, and areas where automation can streamline operations.
Optimizing the Manufacturing Supply Chain With 7 Tech-Forward Solutions
Every manufacturing operation needs an efficient and resilient supply chain. Stock shortages, shipping delays and similar disruptions can prolong production, raise costs and impact customer satisfaction, so manufacturers must prevent them as much as possible.
Business Case for Artificial Intelligence in the Plastic Injection Molding Business
A leading plastic injection molding factory was experiencing unusually high defect rates in a specialty plastic bottle designed for the healthcare industry. They were unable to identify or determine the root causes associated with these unusually high defect rates.
Augmented Intelligence in Machine Vision - is Furthering Human Intelligence More Effective Than Replacing It?
Augmented intelligence is similar to artificial intelligence in that it uses machine learning algorithms to enhance defect detection. However, instead of aiming to replace human intelligence, augmented intelligence aims to build upon it.
Five Ways Visual AI Increases Profitability in Manufacturing
The problem with traditional surveillance camera systems is that they are typically used only passively or reactively, i.e., video images are inconsistently viewed and-more often than not-after a safety, security, or quality-related event has taken place.
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