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How We Use AI to Write Requirements

Argon Digital

Whether during elicitation meetings or when reverse engineering from a solution’s existing documentation, a solid understanding of requirements is crucial to successful development. With advancements in artificial intelligence (AI), teams can now streamline this process, transforming transcripts or notes into structured requirements.

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Accelerating Artificial Intelligence with Business Analysis

Business Analysts

by Business Analysis, Artificial intelligence (AI) is rapidly transforming the business landscape by enabling organizations to leverage data insights and automate routine tasks. Business analysts can help organizations identify the data sources needed for AI projects, perform data analysis, and develop data models.

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What are the different types of Business Analysts?

The BAWorld

This role requires skills in data analytics, including knowledge of machine learning basics, artificial intelligence, and programming languages like Python. Business Analyst – Reporting The Reporting Business Analyst is tasked with handling reporting requirements from customers.

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What is a Data Catalog? Features, Best Practices, and Benefits

Astera

Data Governance : It provides mechanisms for defining and implementing governance rules that administrators can use to enforce data governance policies and controls, ensuring that data is managed and used in compliance with organizational policies and regulatory requirements. How to Build a Data Catalog?

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AI in Software Development

Argon Digital

Enter Artificial Intelligence (AI) —a groundbreaking force transforming every phase of the Software Development Lifecycle (SDLC). From gathering requirements to coding, testing, and deployment, AI isn’t just another tool—it’s the game-changer that’s helping teams work faster, smarter, and at an unprecedented scale.