9 ways to scale AI with data integration and "Super iPaaS"

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

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