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.

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.

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