Key Concepts in Data and AI

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What is Artificial Intelligence (AI)?

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AI is a simulation of human intelligence processes by machines, combining computer science with robust datasets to enable problem-solving using the rapid learning capabilities of machines.

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What is Augmented Intelligence?

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Augmented intelligence is a human-centered partnership model of people and AI used to enhance cognitive performance, including learning, decision making, and new experiences.

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What is Big Data?

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Big data refers to large and complex datasets containing structured and unstructured data, arriving in increasing volumes and velocity, requiring special attention for storing, moving, updating, querying, and aggregating.

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What is a Business Glossary?

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A business glossary is a repository of information containing concepts and definitions of business terms frequently used within an organization, serving as a single authoritative source for commonly used terms.

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What is Business Intelligence (BI)?

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BI leverages software and services to help business users make informed decisions by delivering reports and dashboards for data analysis and actionable information.

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What is Cloud Computing?

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Cloud computing is a service provided via the internet where organizations can access on-demand computing resources from another organization, allowing flexibility to scale resources and avoid large upfront costs.

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What is Data Architecture?

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Data architecture is the plan and design for the entire data lifecycle for an organization, from data capture to generating value through analytics.

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What is a Data Catalog?

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A data catalog is an organized inventory of an organization’s data assets, informing users about available datasets and helping them locate it quickly.

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What is Data Democratization?

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Data democratization is the process of providing all business users within an organization access to data, enabling them to use it for insights and decision-making.

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What is a Data Dictionary?

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A data dictionary is the technical documentation of data and its metadata within a database, including field names, definitions, examples, and business rules.