1. Artificial Intelligence (AI): Let’s start with the basics, AI is a broad term for mechanical systems that act like humans. AI’s learn from different techniques that we’ll discuss later in this article like Machine Learning and Deep Learning.  

Check out this article to learn more about AI and its use cases in manufacturing. 

2. Machine Learning (ML): According to IBM, “Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.” In simpler terms, it’s the process of feeding a computer a large amount of data that it uses to learn from with time.  

For example, a manufacturer may use ML in predictive maintenance. An ML algorithm could analyze data from sensors on manufacturing equipment to predict when the machine may go down.  

Check out our video to hear our co-founder’s take on AI vs ML. 

3. Deep Learning: Deep Learning is a more advanced type of machine learning that uses many layers of processing units to analyze and understand complex data. It’s inspired by how our brain works, with each layer of “neurons” learning to recognize different features. This is how technologies like facial recognition in social media apps and voice assistants work so well. 

4. Artificial Neural Networks : Neural Networks are the backbone of deep learning. They are a series of algorithms that try to recognize patterns, similar to the way a human brain does.  

A neural network consists of interconnected layers of nodes (or neurons) that process data. Think of it like a giant web of decision points that help a computer learn and make sense of data, such as recognizing handwriting. 

5. Natural Language Processing (NLP): NLP is a field of AI that helps computers understand, interpret, and respond to human language. It’s the technology behind things like chatbots, translation services, and voice-activated assistants.  

When you talk to your phone or type in a search query, NLP helps the computer understand what you mean and respond appropriately. 

OpenAI’s ChatGPT & NewForge’s ExpertAI both use NLP to allow users to use their natural word-choice to communicate with their AI’s.  

6. Computer Vision: Computer Vision is a type of AI that enables computers to interpret and understand visual information from the world, like images and videos. It’s like giving sight to machines.  

For example, it can be used for bin picking, palletizing and depalletizing, machine tending, defect detection, & much more.  

7. Supervised Learning: Supervised Learning is a machine learning technique where a computer is trained on a labeled dataset, meaning the data includes both the input and the correct output.  

For example, if you wanted to teach a computer to recognize cats in photos, you’d show it thousands of photos labeled as “cat” or “not cat” until it learns to identify them on its own. 

People are starting to use supervised learning for things like spam detection and predictive analytics. 

8. Unsupervised Learning: Unsupervised Learning is another machine learning technique where the computer is given data without labels and must find patterns and relationships on its own. It’s like exploring a new city without a map and discovering landmarks and shortcuts on your own.  

This method is used for things like organizing large sets of images by similarity or finding customer segments in marketing data. 

9. Reinforcement Learning: Reinforcement Learning is a type of machine learning where an agent learns to make decisions by taking actions and receiving rewards or penalties. It’s similar to training a pet with rewards for good behavior and penalties for bad behavior. 

This approach is used in robotics for teaching robots to perform tasks, in video games for developing intelligent opponents, and in self-driving cars for navigating roads safely. 

10. Training Data: Training Data is the dataset used to teach an AI model how to make decisions or predictions. It includes inputs and the correct outputs so the model can learn their relationship.  

For example, to train a model to recognize handwritten digits, you’d use a large collection of images of digits along with their correct labels. 

Understanding these fundamental AI terms is crucial for anyone looking to stay current in the rapidly evolving field of artificial intelligence. From the basics of AI and Machine Learning to the intricacies of Deep Learning and Natural Language Processing, each concept plays a significant role in shaping the technologies that are transforming industries today.  

  As AI continues to advance, keeping on top of of these key concepts will be essential for leveraging its full potential and staying ahead in a tech-driven world. 

The post Top 10 AI Terms You Need to Know first appeared on NewForge Tech.

Discover how Bühler, a global leader in Manufacturing Equipment Building, revolutionized their customer support experience and achieved significant cost savings by implementing BühlerVision, a white-labeled remote support solution powered by NewForge. This white paper explores the challenges faced by Bühler, the solution implemented, the key benefits realized, and the impact on customer satisfaction and profitability.

Introduction:

Bühler is renowned for its innovative technologies that power the global food and mobility industries, serving billions of people daily. However, traditional support methods led to downtime, high travel costs, and inefficiencies. In response, Bühler sought a solution to enhance customer experience, reduce their carbon footprint, and improve employee satisfaction.

Bühler Sought Improvement in:

• Minimizing downtime and delays due to technician travel
• Reducing high expenses linked with travel and maintenance
• Lowering their carbon footprint
• Enhancing employee satisfaction
• Improving customer support efficiency

Solution Implemented: BühlerVision Powered by NewForge

Bühler partnered with NewForge to implement BühlerVision, a whitelabeled remote support solution. This solution leverages smartglasses for real-time remote expert support, enabling engineers located anywhere to assist on-site technicians instantly.

Key Features of BühlerVision:

• Real-time Remote Support: Engineers provide instant assistance, troubleshooting, and guidance to on-site technicians.
• New Revenue Stream: Whitelabeled solution as BühlerVision, offering an additional service to customers and generating revenue.
• Global Service Coverage: Engineers in Minneapolis now service all of North America and other regions, expanding reach and service capabilities.

Results and Impact:

• Notable reduction in travel costs by 55%, resulting in significant savings.
• Customer satisfaction increased by 22%, attributed to faster issue resolution and improved support experience.
• Impressive 36% improvement in equipment uptime, leading to enhanced productivity and profitability.
• Creation of a new revenue stream through BühlerVision, providing a competitive advantage.

Conclusion:

Bühler’s adoption of BühlerVision powered by NewForge exemplifies innovation in manufacturing support. Through their partnership with NewForge, Bühler not only reduced costs and improved efficiency but also enhanced customer satisfaction and gained a competitive edge in the market.

About NewForge:

NewForge harnesses the power of Artificial Intelligence (AI) & Augmented Reality (AR) to solve the age-old problem of not having the right knowledge when you need it.

Our platform, NewForge Knowledge Place, seamlessly bridges the gap between equipment experts and people in need of their knowledge, facilitating swift and accurate knowledge transfer.

With intuitive tools, like remote expert collaboration and AI-driven automation, we capture manufacturing knowledge and transform it into simple steps.

The post Enhancing Manufacturing Efficiency with BühlerVision: A Remote Support Success Story first appeared on NewForge Tech.

B/S/H Home Appliance Group, a global leader in home appliances, faced challenges in training, work standardization, and quality enhancement. With traditional methods like job shadowing and minimal documentation, they found inefficiencies, errors, and a heavy reliance on tribal knowledge. Recognizing the need for a change, B/S/H implemented New Forge’s platform to transform their processes. This white paper explores how NewForge’s Platform has revolutionized B/S/H’s operations, leading to reduced training time, enhanced quality, increased productivity, and decreased rework. 

Use Case Summary: 

B/S/H Home Appliance Group leveraged NewForge’s technology to streamline training, standardize work procedures, enhance quality output, minimize rework, and boost overall productivity. This shift was vital in an industry where precision, efficiency, and quality are paramount. 

The previous process at B/S/H relied heavily on job shadowing, tribal knowledge, and minimal documentation. This resulted in: 

• Lengthy and complex manual operations 
• Minimal learning documentation or work instructions 
• High dependency on tribal knowledge 
• Challenges in maintaining consistency and quality across operations 

Introducing New Forge Platform: 

NewForge’s Platform brought a comprehensive solution to these challenges. The platform allowed B/S/H to: 

•  Document and execute standardized work instructions 
• Increase productivity through efficient workflows 
• Decrease errors and rework by implementing error-proofing and automated checks 
• Reduce dependency on tribal knowledge 
• Simplify work operations, leading to shorter cycle times 

Benchmarking with Industry Standards: 

The implementation of the NewForge Platform aligned B/S/H with industry benchmarks, including: 

• Robust training modules covering Quality (14Q), Safety, Onboarding, and Rotations 
• Detailed documentation and work instructions for every process 
• Error-proofing mechanisms and automated checks to maintain quality 
• Reduced work operation complexity, resulting in shorter cycle times 

Benefits Realized: 

B/S/H Home Appliance Group witnessed a range of benefits after adopting  NewForge’s Platform: 

•  Reduced Training Time: Employees could quickly onboard and understand processes. 
• Enhanced Quality First Pass Yield (FPY): Quality improved due to standardized procedures. 
• Reduced Rework: Errors decreased significantly, reducing wastage and time. 
• Increased Productivity and Efficiency: Workflows became streamlined, boosting overall output. 
• Increased Visualization of Task Timing: Employees could better plan and execute tasks. 

Conclusion: 

B/S/H Home Appliance Group recognizes NewForge’s Platform as a game-changer in their operations. By adopting this solution, they have not only improved efficiency and quality but also set a benchmark for the industry. Scaling this process to additional locations promises further enhancements in operations and efficiency, making B/S/H a leader in innovation and productivity. 

About NewForge: 

NewForge’s Platform harnesses the power of Artificial Intelligence (AI) and Augmented Reality (AR) to address the challenge of knowledge accessibility.  

NewForge Knowledge Place acts as a bridge between equipment experts and those in need of their knowledge. Through features like remote expert collaboration and AI-driven automation, it captures manufacturing knowledge and transforms it into simple, actionable steps.  

This intuitive approach ensures that the right knowledge is available when and where it’s needed, facilitating swift and accurate knowledge transfer across the organization. 

In Summary: 

B/S/H Home Appliance Group’s journey with NewForge’s Platform showcases a transformation from traditional, manual processes to a streamlined, efficient system. The benefits of reduced training time, enhanced quality, decreased rework, and increased productivity underscore the success of this implementation. As B/S/H continues to scale this approach, they are poised to lead the industry in operational excellence and innovation, setting a new standard for manufacturing processes. 

The post Revolutionizing Work Procedures with NewForge Knowledge Place: A Case Study with B/S/H Home Appliance Group  first appeared on NewForge Tech.