- Working with datasets – Zendesk help
For example, you might want to experiment with the data structure, or practice working with custom metrics and attributes without worrying about cluttering a shared default dataset
- Data Models | Zendesk Support Transform Model - Fivetran
This package includes the zendesk__document model, which processes and segments Zendesk text data for vectorization, making it suitable for NLP workflows The model outputs structured chunks of text with associated document IDs, segment indices, and token counts
- Data Models and Interfaces | zendesk zaf-toolbox | DeepWiki
This page provides comprehensive reference documentation for the TypeScript interfaces and data models used throughout the ZAF Toolbox These models define the structure of data exchanged with Zendesk
- Moving from intent-based bots to proactive AI agents | OpenAI
Under the hood, Zendesk runs a rigorous internal benchmarking program to select and deploy the best models and tune prompts for each use case The team considers latency, cost, and quality, testing new models like OpenAI’s o3‑mini across use cases ranging from RAG to background reasoning tasks
- Leveraging custom objects to manage assets and provide personalized . . .
Using custom objects to manage your business’s unique data, making real-time, data-driven decisions, and providing more personalized customer interactions within Zendesk An ever-changing product catalog is challenging to manage, no matter what type of product or inventory your business has
- Transform data in Zendesk (Preview) - Azure Data Factory Azure . . .
This article outlines how to use Data Flow to transform data in Zendesk (Preview) To learn more, read the introductory article for Azure Data Factory or Azure Synapse Analytics
- Meet the Zendesk Resolution Platform: Powered by our network of AI Agents
Our next generation AI agents use adaptive reasoning to handle complex inquiries, take precise action, and drive faster, more accurate resolutions With the Zendesk AI agent builder, businesses can deploy AI agents in minutes by describing their procedures, no manual setup and no code required
- Zendesk Data Model - Microsoft Fabric Community
Connecting a date table properly in Power BI can be a bit tricky, especially when dealing with data from external sources like ZenDesk Here are some steps you might find helpful:
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