Digital Transformation and Artificial Intelligence Concepts

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Practice flashcards covering dictionary-style definitions of Digital Transformation, AI classifications, Big Data characteristics, and E-commerce models based on the lecture bank.

Last updated 8:17 AM on 7/26/26
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60 Terms

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Omnichannel Retail

A strategic retail model with a seamless, integrated shopping experience across both physical stores and digital applications.

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Fulfillment as a Service (FaaS)

A logistics model that optimizes delivery but can increase plastic packaging and greenhouse gas emissions if not managed with green practices.

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Direct Procurement

The process of purchasing raw materials needed to produce finished goods in a manufacturing company.

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Indirect Procurement

The purchase of supplies and services for daily operational needs, such as office supplies or janitorial services.

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E-Procurement

A digital technology solution used to streamline and automate purchasing processes to control costs and improve efficiency.

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Rules-based decision-making

A feature that analyzes situations to help beginners make decisions like an expert based on pre-defined criteria.

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5G Networks in Retailing

A technology that supports omnichannel retailing but presents a risk of increasing energy consumption for Big Data processing.

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Decision Science Phase 3 (Model Data)

The stage in the decision lifecycle where data scientists select appropriate algorithms and evaluate model fit.

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Decision Science Phase 6 (Deploy)

The stage where a decision model is tested within the actual production environment of the enterprise.

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Overspecialization

A limitation in recommendation algorithms where the tool only suggests items that are too similar, making suggestions less diverse and useful.

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Macy's QR Code Strategy

A mobile strategy that provides designer videos and instructions for customers to buy through the app if products are out of stock.

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Associative Engine (Qlik)

An inference tool that separates data from context and links it automatically, rather than using traditional SQL queries.

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Mass Personalization

An AI application in e-commerce where the platform displays cosmetic suggestions based on a user's product viewing history and context.

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Thoughtspot

A Business Intelligence (BI) platform featuring a search-based interface that supports complex questions driven by AI.

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Data Product

A term in data science for a function that encapsulates an algorithm and is integrated directly into an application.

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Mobile SEO

A critical strategy because mobile devices currently account for more than half of all internet traffic.

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Digital Dashboard

A graphical interface that combines multiple data visualizations on a single screen to provide an overview of key performance indicators (KPIs).

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Data Mashups

A digital tool function that combines business data and applications from two or more sources for an integrated information experience.

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Big Data Characteristics (4V)

The core pillars of large-scale data management: Volume, Variety, Velocity, and Veracity.

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Volume (Big Data)

The massive scale of information, typically measured in units ranging from Terabytes to Zettabytes.

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Velocity (Big Data)

The speed at which data is stored, analyzed, and generated into reports.

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Veracity (Big Data)

The accuracy, integrity, and reliability of stored data, serving as a warning against noise and duplicates.

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Data Science vs. Traditional BI

Data Science focuses on processing unstructured data and predicting the future, whereas traditional BI focuses on structured data from single sources.

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SEO (Search Engine Optimization)

A strategy to design a website to improve its position in natural or organic (unpaid) search results.

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Web 1.0 vs. Web 2.0

Web 1.0 is characterized by author-controlled static content, while Web 2.0 focuses on user-generated content and social interaction.

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Web 2.0 (Social Web)

An era of the internet characterized by dynamic pages, social networks, and user-conceived and shared content.

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Web 3.0 (Semantic Web)

The evolution of the web that allows computers to automatically interpret and understand the true meaning of content via metadata.

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AJAX and API

Technologies that support updating specific data blocks on a web page without needing to reload the entire page.

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Ontology (Semantic Web)

A concept used to define the logical relationship between data based on a triple model: subject, predicate, and object.

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Showrooming

The consumer habit of viewing products in a physical store and then using a mobile device to purchase them online.

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Subscription-based Retailing

A model where customers sign up to receive regular product parcels, which can reduce waste but increase delivery emissions if returns are high.

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Cross-Channel Model

A model where customers see multiple separate channels under the same brand with which they can interact.

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Mobile Payment in Developing Countries

A popular financial access method for the 'unbanked' population who lack access to traditional physical banking services.

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NFC (Near Field Communication)

A technology for contactless payments that faced adoption barriers due to a 'chicken and egg' problem between sellers and users.

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Stitch Fix Data Risk

The risk that sensitive personal data such as sizes and preferences could be leaked, leading to personalized scams.

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Quantum Computing (Superposition)

The ability of a Qubit to hold the value of 00, 11, or any value in between simultaneously.

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Black Box Effect

An ethical concern in machine learning where it is difficult for humans to explain the logic of how the AI arrived at a specific decision.

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COMPAS System

An AI system used in Broward County to predict recidivism, which illustrated the risk of machine learning bias affecting judicial outcomes.

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Fuzzy Logic

An AI branch that simulates human reasoning to handle 'maybe' values between absolute true and false, commonly used in air conditioners and car gearboxes.

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Reactive Machine (AI)

The most basic type of AI that only acts based on immediate current conditions without learning from memory, such as IBM's Deep Blue.

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Limited Memory (AI)

AI that relies on memory of recent events to make safe actions, frequently used in self-driving car systems.

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Theory of Mind (AI)

A theoretical AI requirement to develop representations of the environment and other actors in the world.

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Self-Awareness (AI)

An advanced AI concept where the machine not only understands its environment but can also create an image of its own self.

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Artificial Narrow Intelligence (ANI)

The current stage of AI development where systems are designed to solve specific, limited tasks.

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Artificial General Intelligence (AGI)

A future stage of development where AI possesses intelligence equal to that of a human.

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Artificial Super Intelligence (ASI)

A future concept where AI capabilities far exceed all human intelligence.

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Text Mining

The process of interpreting words and extracting information from unstructured data rather than numerical databases.

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Data Mining

The analytical process of extracting correlations or hidden patterns from large datasets.

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Enterprise 2.0

The integration of social networking and Web 2.0 features into an enterprise's internal network to improve collaboration.

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Crowdsourcing

The practice of mobilizing collective talent from the crowd to generate ideas and solve technical problems in Research and Development (R&D).

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Crowdfunding

The use of the web to raise capital from the community to finance business projects.

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Equity Crowdfunding

A crowdfunding type where contributors receive a specific ownership percentage in the project or business.

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Identity and Access Management (IAM)

A system focused on authentication, authorization, and policy-based access control, but not on training machine learning models.

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Full-text Similarity

A search engine feature where a user sends a large block of text to find similar content across the web.

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Sparsity

A problem in collaborative filtering where a lack of user ratings or historical data makes it difficult to generate accurate recommendations.

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Inverted Index

A lookup table that allows a search engine to efficiently identify the locations of pages containing specific keywords.

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SMAC Model

An integration of Social, Mobile, Analytics, and Cloud technologies to provide unique on-demand customer experiences.

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Digitization

The process of converting any type of activity or information into a digital format.

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Triple Bottom Line

A management process for handling financial, social, and environmental risks, obligations, and opportunities.

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Carbon Footprint

The total amount of carbon dioxide and other greenhouse gases emitted due to the consumption of fossil fuels.