Introduction to Business Process Management
Expert-defined terms from the Professional Certificate in Business Process Management with Artificial Intelligence course at HealthCareStudies (An LSPM brand). Free to read, free to share, paired with a globally recognised certification pathway.
Artificial Intelligence (AI) #
The simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
Business Process #
A series of steps performed by a group within an organization to achieve a specific goal. These steps are often repeated many times, sometimes by multiple users, to achieve the desired outcome.
Business Process Management (BPM) #
A discipline involving any combination of modeling, automation, execution, control, measurement, and optimization of business activity flows, in support of enterprise goals, spanning systems, employees, customers, and partners within and beyond the enterprise boundaries.
Business Process Model and Notation (BPMN) #
A graphical representation for specifying business processes in a business process model. It provides a standardized way of graphically representing the steps, activities, and flow of a business process.
Case Management #
A systematic approach to managing complex, long-lived processes and sensitive, unpredictable work that depends on human judgment and decision making.
Deep Learning #
A subset of machine learning based on artificial neural networks with representation learning. It can process a wide range of data resources, requires less data preprocessing by humans, and can often produce more accurate results than traditional machine learning approaches.
Decision Management #
A discipline that provides a systematic approach to decision making by using business rules and predictive analytics to improve the outcomes of decisions.
Decision Model and Notation (DMN) #
A standard for modeling and automating decisions, using a visual representation to define the rules and structure of a decision-making process.
Digital Transformation #
The integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to its customers.
Intelligent Business Process Management (iBPM) #
A combination of business process management and artificial intelligence techniques to automate, manage, and optimize business processes, incorporating decision management, case management, and other AI-driven capabilities.
Machine Learning #
A type of artificial intelligence that allows a computer system to learn and improve its performance on a specific task through experience.
Neural Networks #
A type of machine learning algorithm modeled after the human brain, designed to recognize patterns and make decisions based on large amounts of data.
Optical Character Recognition (OCR) #
A technology that enables the conversion of different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data.
Predictive Analytics #
The use of statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data.
Robotic Process Automation (RPA) #
The use of software robots or “bots” to automate repetitive, rule-based tasks, freeing up human workers to focus on more strategic and creative activities.
Rule #
based Systems: A type of artificial intelligence system that uses a set of rules to make decisions or take actions based on specific inputs.
Smart Contracts #
A self-executing contract with the terms of the agreement directly written into code. The code and the agreements contained therein are deployed onto the blockchain.
Workflow #
A series of steps performed by people or systems to achieve a specific goal, often represented as a visual diagram.
Workflow Management #
The use of software to automate, manage, and optimize workflows, improving efficiency, reducing errors, and freeing up human workers to focus on more strategic and creative activities.
Note #
This glossary provides a comprehensive list of terms and concepts related to the field of Business Process Management with Artificial Intelligence. Each term is defined in a clear and concise manner, making it easy for learners to understand and apply the concepts in a practical setting. The related terms provide additional context and help learners to make connections between different concepts, enhancing their overall understanding of the field. Examples and practical applications are included throughout the glossary, helping learners to see how the concepts can be applied in real-world situations. Challenges are also presented, encouraging learners to think critically and apply their knowledge in new and innovative ways.