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Top 10 Generative AI Use Cases Across Industries

Generative AI use cases in marketing include automated content creation, campaign optimization, and audience targeting. Models trained on behavioral and transactional data generate ad copy, product descriptions, emails, and social media content tailored to segmented audiences.

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What is a Data Governance Framework?
A data governance framework is a structured approach that defines how an organization manages its data assets. It outlines the policies, roles, responsibilities, processes, and standards needed to ensure data is accurate, consistent, secure, and used responsibly across the organization.

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What is Multimodal AI?
Multimodal AI refers to artificial intelligence systems that can process, integrate, and interpret data from multiple ways. A "modality" refers to a specific type of data such as text, speech, images, or sensor signals. By combining inputs from various sources, It can form a richer and more accurate understanding of the context compared to unimodal systems, which rely on only one data type.

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What are Generative AI Models?
Generative AI models use machine learning to create fresh data outputs that mimic the patterns found in their training datasets. Instead of focusing on classification or prediction tasks like discriminative models, generative models learn the underlying patterns and structures within a dataset to create similar outputs. These outputs can range from text and images to audio, video, and even code.

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What is Data Governance?
Data governance is a framework that defines how data is managed, accessed, and used across an organization. It ensures that data is accurate, secure, consistent, and used responsibly.
For example, in a retail company, data governance helps maintain consistent customer information across regions, avoiding duplication or reporting errors. A clear data governance model sets rules for data entry, access, and quality.