ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.
Enterprise Resource Planning (ERP) are integrated software systems that manage business processes across various departments, such as finance, HR, and supply chain. Essential for improving operational efficiency and providing a unified view of business operations.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle. Crucial for ensuring efficient and effective product management and development.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes. Important for ensuring fairness and accuracy in AI systems.
A digital replica of a physical entity, used to simulate, analyze, and optimize real-world operations. Essential for improving operational efficiency and decision-making.
A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously. Crucial for improving the speed, efficiency, and quality of software development and deployment.
Business Process Automation (BPA) refers to the use of technology to automate complex business processes. Essential for streamlining operations, reducing manual effort, and increasing efficiency in recurring tasks.
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems. Crucial for maintaining the reliability and efficiency of complex software systems.
Integrated Business Planning (IBP) is a process that aligns strategic, operational, and financial planning to optimize business performance. It ensures cohesive and efficient planning across all functions.
A principle in lean management aimed at reducing non-value-added activities to improve efficiency. Important for optimizing processes and resource use.
Business Process Management Software (BPMS) refers to tools and systems that help organizations design, model, execute, monitor, and optimize their business processes. Essential for improving operational efficiency and ensuring that digital products support effective business processes.
A usability testing method where users interact with a system they believe to be autonomous, but which is actually operated by a human. Essential for testing concepts and interactions before full development.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation. Important for creating reliable and user-friendly software applications.
A Japanese word meaning inconsistency or variability in processes. Helps in recognizing and addressing workflow imbalances to improve efficiency.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations. Crucial for gaining insights and making data-driven decisions.
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon that offers a wide range of services including computing power, storage, and databases. Crucial for enabling scalable, cost-effective, and flexible IT infrastructure solutions for businesses of all sizes.
Application Support Engineer (ASE) is a professional responsible for maintaining and supporting software applications, ensuring their availability and performance. Crucial for ensuring the reliability and user satisfaction of digital products through effective support and maintenance.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
The process of predicting future customer demand using historical data and other information. Crucial for optimizing inventory levels, production schedules, and supply chain management.
Business Rules Engine (BRE) is a software system that executes one or more business rules in a runtime production environment. Crucial for automating decision-making processes and ensuring consistency and compliance in digital products.
The process by which search engines organize and store web content to facilitate fast and accurate information retrieval. Crucial for understanding how search engines work and ensuring that web content is accessible and searchable.
The parts of a service or product that are visible to and interact with the user, as opposed to the backstage operations. Important for designing user experiences that are engaging and effective.
A web-based interface that allows customers to find information and perform tasks without needing assistance from a customer service representative. Essential for improving customer experience and reducing support costs.
The mathematical study of waiting lines or queues. Useful for optimizing user flow and reducing wait times in user interfaces.
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior. Crucial for detecting fraud, errors, or other significant deviations in various contexts.
AI systems designed to communicate with users through natural language, enabling human-like interactions. Crucial for developing advanced customer service and user engagement solutions.
The part of an application that encodes the real-world business rules that determine how data is created, stored, and modified. Crucial for ensuring that digital products align with business processes and deliver value to users.
Interactive Voice Response (IVR) is an automated telephony system that interacts with callers, gathers information, and routes calls to the appropriate recipient. It improves customer service and automates information retrieval.
Business Process Execution Language (BPEL) is a language for specifying business process behaviors based on web services. Important for defining and automating complex business processes in digital product workflows.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. Crucial for making data-driven decisions and improving business performance.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
A temporary increase in the frequency and intensity of a behavior when reinforcement is first removed. Useful for understanding user behavior changes in response to modifications in design or system features.
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions. Crucial for ensuring the stability, reliability, and user satisfaction of digital products in a live environment.
Computer programs designed to simulate conversation with human users, especially over the internet. Crucial for automating customer service and enhancing user engagement.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions. Essential for improving business performance, identifying opportunities for growth, and driving strategic planning.
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications. Important for defining complex business processes and ensuring their effective implementation in digital products.
The systematic process of capturing, evaluating, and implementing ideas to drive innovation, reflecting a collective commitment to continuous improvement and product excellence. Essential for harnessing team creativity and maintaining the entrepreneurial spirit that characterizes successful product development.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights. Important for making informed business decisions and identifying opportunities for innovation and growth.
Agile Release Train (ART) is a long-lived team of Agile teams that, along with other stakeholders, incrementally develops, delivers, and operates one or more solutions in a value stream. Important for coordinating Agile development and delivery at scale.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors. Crucial for accelerating the delivery of software updates and maintaining high-quality digital products.
Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle. Important for ensuring the sustainability and effectiveness of digital products over time.
Software agents that can perform tasks or services for an individual based on verbal commands. Crucial for enhancing user experience through hands-free interaction and automation.
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean. Important for identifying outliers and understanding variability in data, aiding in quality control and performance assessment in digital product design.
Software Requirements Specification (SRS) is a detailed document that outlines the functional and non-functional requirements of a software system. Crucial for ensuring clear communication and understanding between stakeholders and the development team.
A psychological phenomenon where people follow the actions of others in an attempt to reflect correct behavior for a given situation. Essential for designing interfaces and experiences that leverage social influence to guide user behavior and increase trust and engagement.
Enterprise Project Management (EPM) is a comprehensive approach to managing projects across an entire organization. Essential for coordinating complex, cross-functional projects and achieving organizational objectives.
Domain-Driven Design (DDD) is an approach to software development that focuses on modeling the business domain and its logic. Essential for aligning software development with business needs and creating maintainable systems.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions. Crucial for making data-driven decisions that improve product performance and user satisfaction.
Portfolio Management is the process of overseeing and coordinating an organization's collection of products to achieve strategic objectives. Crucial for balancing resources, maximizing ROI, and aligning products with business goals.
The study of finding the best solution from a set of feasible solutions. Crucial for improving efficiency and performance in design and development processes.
Capability Maturity Model (CMM) is a framework for improving and optimizing processes within an organization. Essential for assessing and enhancing the maturity and efficiency of processes in product design and development.
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance. Essential for tracking progress, making informed decisions, and aligning efforts with strategic goals across various business functions, including product design and development.