Topic: data preparation
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Unlock AI Success with Unstructured Data
Successfully scaling AI requires a strategic focus on data preparation, model tuning, and clear business objectives, with a foundational need to first make structured data consumable before tackling unstructured data. Effective implementation often requires specialized, embedded technical partner...
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Master Email Segmentation for Better Targeting
Automated email segmentation uses real-time data to create dynamic contact groups, eliminating manual list maintenance and ensuring highly relevant messaging. It relies on clean, unified data—including contact attributes, engagement signals, and transaction history—to build reliable segments that...
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Avoid These 6 Common Agentic AI Mistakes
Organizations face challenges with agentic AI due to common pitfalls like vendor rebranding of basic automation as AI, which can be identified by demanding evidence of adaptive, goal-oriented decision-making during testing. Key risks include data-set creep, where AI accesses unauthorized informat...
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Zappi’s CMO Reveals How to Build AI Agents That Master Brand Voice & Compliance
Many marketers face challenges with AI-generated content feeling generic, but treating AI as a trained team member can align outputs with brand identity. Specialized AI agents excel by focusing on specific tasks, mirroring successful team structures and improving output quality over general-purpo...
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