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Preparing and Delivering Data for AI: Adoption Trends, Requirements, and Best Practices

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Preparing and Delivering Data for AI: Adoption Trends, Requirements, and Best Practices

Start: Q3 2024
Publication: Q4 2024/Q1 2025
Region: Global

Preparing and Delivering Data for AI: Adoption Trends, Requirements, and Best Practices

Artificial intelligence initiatives put a lot of pressure on enterprise data teams. These teams, already busy managing structured tables for traditional analytics, must learn new tools, techniques, and processes to prepare multi-structured datasets for AI/ML and now GenAI models. They also must extend their data governance programs to minimize risks related to accuracy, privacy, and explainability.

This survey-based report assesses the status of data delivery across hybrid and cloud or multi-cloud environments to support AI. It examines the objectives, challenges, requirements, use cases, and best practices of both large and small companies across the globe. It explores how various data stakeholders integrate, store, master, catalog, and observe the various datasets that feed AI-driven applications—and how they support the lifecycle of AI models.

Readers will learn:

  • Data teams’ readiness to transform unstructured data into trusted AI inputs
  • New AI features that assist data management and governance
  • Tools and techniques for effective DataOps, MLOps, and LLMOps
  • Cross-functional collaboration among data engineers, ML engineers, and data scientists
  • Proven practices of best-in-class leaders and practitioners

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About our Topical Survey

BARC Topical Survey

Topical Survey support end-user organizations in their IT/digital strategies and their choice of partners. Our research analyzes the latest market and technology trends – as well as changes to ecosystems – to guide end-user organizations in their digital transformation journey.

Global surveys are based on 250+ participants.

Topical Survey are conducted in an independent and objective manner on behalf of several stakeholders.

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