『Data Strategy in the Age of AI Study Guide』のカバーアート

Data Strategy in the Age of AI Study Guide

Data Strategy in the Age of AI Study Guide

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Emerging Technologies: Future of Data Strategy

Glossary of Key Terms

TermDefinitionAI-First OrganizationsOrganizations that prioritize the use of artificial intelligence in their operations and decision-making processes.Big DataData characterized by its high volume, velocity, and variety, requiring specialized technologies and analytical approaches.Cloud ComputingThe delivery of computing services over the Internet, including servers, storage, databases, networking, software, and analytics.Data ArchitectureThe overall structure and organization of data within an organization, including systems, databases, and data flows.Data GovernanceThe processes and policies that ensure the quality, integrity, and security of data within an organization.Data StrategyA comprehensive plan for managing and leveraging data assets to achieve organizational objectives.Edge ComputingProcessing data closer to its source, reducing latency and bandwidth requirements.Generative AIA type of AI that can create new content, such as text, images, and code, based on existing data patterns.Sustainable ComputingComputing practices that aim to minimize environmental impact, including energy efficiency and carbon emissions reduction.Short Answer Questions

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