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As enterprises embrace AI and machine learning, scaling these technologies is essential. A major challenge is securing high-quality, connected data for AI models to yield accurate results. This white paper discusses how data integration solutions facilitate AI scaling by addressing these key issues:

  • Merging data from various sources to prevent silos
  • Automating data cleansing for quality
  • Ensuring data context for model explainability
  • Harmonizing with infrastructure for scalable performance

It introduces a "Super iPaaS" that merges data, application, API, and event integration for AI success. Discover how data integration can advance your AI initiatives in the white paper today.

Vendor:
webMethods + StreamSets
Posted:
Aug 15, 2024
Published:
Aug 15, 2024
Format:
HTML
Type:
White Paper

This resource is no longer available.

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