Often known as 3D printing, is a process of creating a physical object from a digital design by layering material. This technology allows for rapid prototyping, custom parts production, and complex designs that are not possible with traditional manufacturing methods.
The use of innovative technology to improve existing products as well as quality and processes in manufacturing. Also, leverages new technologies in creation of new products, including production activities that depend on information, automation, computation, software, sensing, and networking.
The use of sophisticated robots in Industry 4.0, often with enhanced capabilities for automation, learning, and interaction with their environment. These features enable robotic systems to take commands and react to them intelligently.
A proprietary artificial intelligence algorithm used by Bo3 Lab to match businesses with the most suitable industry solutions.
AI is a technology that mimics human intelligence for learning and decision-making, evolving from rule-based systems to advanced technologies like deep learning. It now drives significant progress in image recognition, language processing, and autonomous systems, becoming deeply integrated into daily life with ongoing advancements.
An interactive experience of a real-world environment where objects are enhanced by computer-generated perceptual information.
Autonomous Robots are advanced robots capable of performing tasks in complex, dynamic environments without continuous human guidance, enhancing efficiency and safety.
Systems capable of operating independently of human control, often using AI to make decisions.
Large sets of data that are analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
A decentralized digital ledger technology that securely records and verifies transactions across multiple computers.
This process involves outlining why a particular Industry 4.0 solution should be adopted, focusing on how it will help, how much it will cost, and what it will achieve for both those offering and using the solution.
The delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet to offer faster innovation, flexible resources, and economies of scale.
A field of artificial intelligence that trains computers to interpret and understand the visual world using digital images and deep learning models.
These are professional services provided by experts to help businesses improve their performance through the analysis of existing problems and the development of future plans.
Attempts by individuals or groups to breach the information systems of a company to steal, alter, or destroy data.
Protection of internet-connected systems, including hardware, software, and data, from cyber threats.
Integrations of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, usually with feedback loops where physical processes affect computations and vice versa.
Incidents where information security is compromised, leading to the unauthorized access or theft of personal or corporate data.
Information derived from analyzing data systematically to inform decision-making processes.
Services that utilize data analysis to enhance decision-making and service delivery.
Business operations that leverage digital technologies to improve efficiency and effectiveness.
Software, tools, or services delivered electronically, often through the internet.
The application of The potential for losses or damages resulting from the use of digital technologies and digital operations within a business. technologies to the processes involved in producing, distributing, and managing goods.
The application of digital technologies to the processes involved in producing, distributing, and managing goods.
The digital thread refers to the communication framework that allows a connected data flow and integrated view of an asset’s data throughout its lifecycle. It integrates data from different sources like IoT devices and operational systems to provide holistic insights into operations.
The digital thread refers to the communication framework that allows a connected data flow and integrated view of an asset’s data throughout its lifecycle. It integrates data from different sources like IoT devices and operational systems to provide holistic insights into operations.
A comprehensive appraisal of a business or project prior to signing a contract, to confirm all facts, that might include the examination of financial records.
The state of equilibrium between living organisms and their environment, which sustainable practices aim to maintain or restore.
Edge computing refers to processing data near the edge of your network, where the data is being generated, instead of in a centralized data-processing warehouse. This means faster processing times and reduced bandwidth usage, which is crucial for real-time operations in manufacturing environments.
Speeded up or made faster, often used in the context of process optimization.
The use of control systems, such as computers and robots, for operating equipment in manufacturing plants to enhance production efficiency and accuracy.
Accelerating a process to complete it more quickly than normal, often used in the context of project management and development.
Assessments of how practical and capable a project or investment is of achieving its intended goals and delivering benefits.
GenAI is a specific type of AI focused on content generation such as text, images, or music, by analyzing and learning from existing data. Unlike traditional AI, which analyzes and responds to input, GenAI creates original outputs by mimicking the patterns of its training data, and is used in applications like content creation, art, healthcare, entertainment, and simulation.
Economic growth and improvement of living standards on a global scale, emphasizing inclusiveness and equitable distribution of benefits.
The alignment and synchronization of systems and activities across different functional areas (horizontal) and different levels of an organization or supply chain (vertical).
Economic growth and improvement of living standards on a global scale, emphasizing inclusiveness and equitable distribution of benefits.
Human-Machine Interface technology facilitates interactions between humans and machines, enabling operators to control, monitor, and adjust industrial processes.
A detailed description of how a project or task will be executed, including steps, timelines, resources, and personnel involved.
The Industrial Internet of Things involves connecting physical industrial assets to digital monitoring and control systems to optimize manufacturing and industrial processes.
The current trend of automation and data exchange in manufacturing technologies, integrating cyber-physical systems, the Internet of things, cloud computing, and cognitive computing.
It is the framework that ensures the alignment, integration, and coordination between Information Technology (IT) and Operational Technology (OT) systems within an organization. It focuses on managing cybersecurity, compliance, and risk across both domains while enabling seamless collaboration to support overall business objectives.
This is the integration of Information Technology (IT) systems, which manage data and communications, with Operational Technology (OT) systems, which control physical devices and processes.
Machine learning is a type of AI that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. In an industrial setting, machine learning algorithms can optimize manufacturing operations and adapt to new situations autonomously.
Events or conditions that interfere with the normal functioning of business operations, often leading to inefficiencies or losses.
The capability of an enterprise to deliver products or services in the most cost-effective manner without sacrificing quality.
The execution of the business strategy more consistently and reliably than the competition, often with a focus on process effectiveness and efficiency.
Operational Technology refers to the hardware and software that monitors and controls how physical devices perform and interact in industrial settings.
Goods or services tailored to meet the specific needs or preferences of individual customers.
Small scale experiments or implementations conducted to evaluate the viability, performance, and potential impact of a solution before full-scale execution.
The phase before the actual purchase or implementation of a technology or service, involving evaluation, selection, and negotiation.
Predictive maintenance is a technique that uses data analysis tools and techniques to detect anomalies in your equipment and predict when it might fail. This approach helps prevent equipment failures and avoid unplanned downtime, saving costs and increasing efficiency.
The development and market introduction of new, improved products or services.
A demonstration to verify that certain concepts or theories have the potential for real-world application.
The process of integrating new solution providers into a platform, including compliance checks and setting up profiles.
The ability of systems or businesses to quickly analyze data and make decisions instantly based on current information.
Real-Time Processing refers to the ability of a system to process data at the moment it is received, crucial for time-sensitive applications in manufacturing that require immediate analysis and response.
Adherence to laws, regulations, and guidelines relevant to business operations, particularly those concerning safety, environmental impact, and data security.
The duration from initial research of a new technology or process to its full implementation and integration into business operations.
Adherence to laws, regulations, and guidelines relevant to business operations, particularly those concerning safety, environmental impact, and data security.
A measure used to evaluate the efficiency or profitability of an investment, typically expressed as a percentage.
The individual channels through which a company generates revenue, which can include sales, services, and other sources of income.
RPA is a technology that uses software robots or "bots" to automate repetitive, rule-based tasks typically performed by humans in business processes.RPA is designed to boosts efficiency and reduces errors by automating routine tasks with predefined rules, freeing up workers for more complex tasks, unlike AI, which mimics human intelligence.
The complete sequence of events that occur from the initial customer engagement to the final sale of a product or service.
Terms used by Bo3 Lab to describe the roles within their platform; 'Seekers' are businesses looking for solutions, while 'Providers' are the ones offering those solutions.
The use of digital models to replicate real-world processes or systems, allowing for testing and analysis without physical risks.
The ability to test one or more solutions in a controlled environment to determine their efficacy before full-scale implementation.
A smart factory is a highly digitized and connected production facility that relies on smart manufacturing. Leveraging IoT, AI, and other technologies, smart factories improve productivity, quality, and flexibility in manufacturing processes.
The use of an integrated, data-driven approach in manufacturing that leverages IoT, AI, and other technologies to improve manufacturing performance and output.
A supply chain enhanced with digital technologies like IoT and AI to improve efficiency, visibility, and decision-making.
Mistakes in planning or execution that can significantly derail a company's objectives and performance.
Long-term goals that an organization aims to achieve, which guide its internal strategic planning and decision-making.
Supply Chain Analytics involves the use of data analysis tools to improve the efficiency and effectiveness of supply chain operations, helping predict, adapt, and react to supply chain changes.
Interruptions in the sequence of processes involved in the production and distribution of goods, which can affect a company's ability to operate efficiently.
The optimization of processes that maximize the efficiency of the supply chain from materials to production to market.
This refers to connecting different systems or technologies so they work together as a unified whole.
The period it takes from the start of a project until it starts generating value for an organization.
A project where a vendor/solution provider delivers a complete product or system that is ready for immediate use by the client.
A methodology for documenting the functional requirements of a system or solution to ensure all scenarios are covered.
The process of increasing the efficiency of a chain of activities that an organization performs to deliver a valuable product or service.
Specific challenges or limitations that need to be managed to maximize value during the implementation of new technologies or strategies.
Virtual Reality creates life like and highly realistic simulations of products and processes that delivers experiential learning and insights.
Often known as 3D printing, is a process of creating a physical object from a digital design by layering material. This technology allows for rapid prototyping, custom parts production, and complex designs that are not possible with traditional manufacturing methods.
The use of innovative technology to improve existing products as well as quality and processes in manufacturing. Also, leverages new technologies in creation of new products, including production activities that depend on information, automation, computation, software, sensing, and networking.
The use of sophisticated robots in Industry 4.0, often with enhanced capabilities for automation, learning, and interaction with their environment. These features enable robotic systems to take commands and react to them intelligently.
A proprietary artificial intelligence algorithm used by Bo3 Lab to match businesses with the most suitable industry solutions.
AI is a technology that mimics human intelligence for learning and decision-making, evolving from rule-based systems to advanced technologies like deep learning. It now drives significant progress in image recognition, language processing, and autonomous systems, becoming deeply integrated into daily life with ongoing advancements.
An interactive experience of a real-world environment where objects are enhanced by computer-generated perceptual information.
Autonomous Robots are advanced robots capable of performing tasks in complex, dynamic environments without continuous human guidance, enhancing efficiency and safety.
Systems capable of operating independently of human control, often using AI to make decisions.
Large sets of data that are analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
A decentralized digital ledger technology that securely records and verifies transactions across multiple computers.
This process involves outlining why a particular Industry 4.0 solution should be adopted, focusing on how it will help, how much it will cost, and what it will achieve for both those offering and using the solution.
The delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet to offer faster innovation, flexible resources, and economies of scale.
A field of artificial intelligence that trains computers to interpret and understand the visual world using digital images and deep learning models.
These are professional services provided by experts to help businesses improve their performance through the analysis of existing problems and the development of future plans.
Attempts by individuals or groups to breach the information systems of a company to steal, alter, or destroy data.
Protection of internet-connected systems, including hardware, software, and data, from cyber threats.
Integrations of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, usually with feedback loops where physical processes affect computations and vice versa.
Incidents where information security is compromised, leading to the unauthorized access or theft of personal or corporate data.
Information derived from analyzing data systematically to inform decision-making processes.
Services that utilize data analysis to enhance decision-making and service delivery.
Business operations that leverage digital technologies to improve efficiency and effectiveness.
Software, tools, or services delivered electronically, often through the internet.
The application of The potential for losses or damages resulting from the use of digital technologies and digital operations within a business.technologies to the processes involved in producing, distributing, and managing goods.
The application of digital technologies to the processes involved in producing, distributing, and managing goods.
The digital thread refers to the communication framework that allows a connected data flow and integrated view of an asset’s data throughout its lifecycle. It integrates data from different sources like IoT devices and operational systems to provide holistic insights into operations.
The digital thread refers to the communication framework that allows a connected data flow and integrated view of an asset’s data throughout its lifecycle. It integrates data from different sources like IoT devices and operational systems to provide holistic insights into operations.
A comprehensive appraisal of a business or project prior to signing a contract, to confirm all facts, that might include the examination of financial records.
The state of equilibrium between living organisms and their environment, which sustainable practices aim to maintain or restore.
Edge computing refers to processing data near the edge of your network, where the data is being generated, instead of in a centralized data-processing warehouse. This means faster processing times and reduced bandwidth usage, which is crucial for real-time operations in manufacturing environments.
Speeded up or made faster, often used in the context of process optimization.
The use of control systems, such as computers and robots, for operating equipment in manufacturing plants to enhance production efficiency and accuracy.
Accelerating a process to complete it more quickly than normal, often used in the context of project management and development.
Assessments of how practical and capable a project or investment is of achieving its intended goals and delivering benefits.
GenAI is a specific type of AI focused on content generation such as text, images, or music, by analyzing and learning from existing data. Unlike traditional AI, which analyzes and responds to input, GenAI creates original outputs by mimicking the patterns of its training data, and is used in applications like content creation, art, healthcare, entertainment, and simulation.
Economic growth and improvement of living standards on a global scale, emphasizing inclusiveness and equitable distribution of benefits.
The alignment and synchronization of systems and activities across different functional areas (horizontal) and different levels of an organization or supply chain (vertical).
Economic growth and improvement of living standards on a global scale, emphasizing inclusiveness and equitable distribution of benefits.
Human-Machine Interface technology facilitates interactions between humans and machines, enabling operators to control, monitor, and adjust industrial processes.
A detailed description of how a project or task will be executed, including steps, timelines, resources, and personnel involved.
The Industrial Internet of Things involves connecting physical industrial assets to digital monitoring and control systems to optimize manufacturing and industrial processes.
The current trend of automation and data exchange in manufacturing technologies, integrating cyber-physical systems, the Internet of things, cloud computing, and cognitive computing.
It is the framework that ensures the alignment, integration, and coordination between Information Technology (IT) and Operational Technology (OT) systems within an organization. It focuses on managing cybersecurity, compliance, and risk across both domains while enabling seamless collaboration to support overall business objectives.
This is the integration of Information Technology (IT) systems, which manage data and communications, with Operational Technology (OT) systems, which control physical devices and processes.
Machine learning is a type of AI that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. In an industrial setting, machine learning algorithms can optimize manufacturing operations and adapt to new situations autonomously.
Events or conditions that interfere with the normal functioning of business operations, often leading to inefficiencies or losses.
The capability of an enterprise to deliver products or services in the most cost-effective manner without sacrificing quality.
The execution of the business strategy more consistently and reliably than the competition, often with a focus on process effectiveness and efficiency.
Operational Technology refers to the hardware and software that monitors and controls how physical devices perform and interact in industrial settings.
Goods or services tailored to meet the specific needs or preferences of individual customers.
Small scale experiments or implementations conducted to evaluate the viability, performance, and potential impact of a solution before full-scale execution.
The phase before the actual purchase or implementation of a technology or service, involving evaluation, selection, and negotiation.
Predictive maintenance is a technique that uses data analysis tools and techniques to detect anomalies in your equipment and predict when it might fail. This approach helps prevent equipment failures and avoid unplanned downtime, saving costs and increasing efficiency.
The development and market introduction of new, improved products or services.
A demonstration to verify that certain concepts or theories have the potential for real-world application.
The process of integrating new solution providers into a platform, including compliance checks and setting up profiles.
The ability of systems or businesses to quickly analyze data and make decisions instantly based on current information.
Real-Time Processing refers to the ability of a system to process data at the moment it is received, crucial for time-sensitive applications in manufacturing that require immediate analysis and response.
Adherence to laws, regulations, and guidelines relevant to business operations, particularly those concerning safety, environmental impact, and data security.
The duration from initial research of a new technology or process to its full implementation and integration into business operations.
Adherence to laws, regulations, and guidelines relevant to business operations, particularly those concerning safety, environmental impact, and data security.
A measure used to evaluate the efficiency or profitability of an investment, typically expressed as a percentage.
The individual channels through which a company generates revenue, which can include sales, services, and other sources of income.
RPA is a technology that uses software robots or "bots" to automate repetitive, rule-based tasks typically performed by humans in business processes.RPA is designed to boosts efficiency and reduces errors by automating routine tasks with predefined rules, freeing up workers for more complex tasks, unlike AI, which mimics human intelligence.
The complete sequence of events that occur from the initial customer engagement to the final sale of a product or service.
Terms used by Bo3 Lab to describe the roles within their platform; 'Seekers' are businesses looking for solutions, while 'Providers' are the ones offering those solutions.
The use of digital models to replicate real-world processes or systems, allowing for testing and analysis without physical risks.
The ability to test one or more solutions in a controlled environment to determine their efficacy before full-scale implementation.
A smart factory is a highly digitized and connected production facility that relies on smart manufacturing. Leveraging IoT, AI, and other technologies, smart factories improve productivity, quality, and flexibility in manufacturing processes.
The use of an integrated, data-driven approach in manufacturing that leverages IoT, AI, and other technologies to improve manufacturing performance and output.
A supply chain enhanced with digital technologies like IoT and AI to improve efficiency, visibility, and decision-making.
Mistakes in planning or execution that can significantly derail a company's objectives and performance.
Long-term goals that an organization aims to achieve, which guide its internal strategic planning and decision-making.
Supply Chain Analytics involves the use of data analysis tools to improve the efficiency and effectiveness of supply chain operations, helping predict, adapt, and react to supply chain changes.
Interruptions in the sequence of processes involved in the production and distribution of goods, which can affect a company's ability to operate efficiently.
The optimization of processes that maximize the efficiency of the supply chain from materials to production to market.
This refers to connecting different systems or technologies so they work together as a unified whole.
The period it takes from the start of a project until it starts generating value for an organization.
A project where a vendor/solution provider delivers a complete product or system that is ready for immediate use by the client.
A methodology for documenting the functional requirements of a system or solution to ensure all scenarios are covered.
The process of increasing the efficiency of a chain of activities that an organization performs to deliver a valuable product or service.
Specific challenges or limitations that need to be managed to maximize value during the implementation of new technologies or strategies.
Virtual Reality creates life like and highly realistic simulations of products and processes that delivers experiential learning and insights.