This guide offers an introduction to building a data foundation for the full spectrum of AI projects. Learn about the different forms of AI and how your organization can achieve readiness and get started on each.
Key insights:
- All AI depends on a solid foundation of automated data integration.
- Traditional, generative, and agentic AI each offer unique capabilities and solutions to different use cases.
- Start with low-risk AI projects that can produce measurable results.
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A practitioner's guide to data integration for AI
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This guide offers an introduction to building a data foundation for the full spectrum of AI projects. Learn about the different forms of AI and how your organization can achieve readiness and get started on each.
Key insights:
- All AI depends on a solid foundation of automated data integration.
- Traditional, generative, and agentic AI each offer unique capabilities and solutions to different use cases.
- Start with low-risk AI projects that can produce measurable results.
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