Domo.AI Introduction

Domo.AI is a comprehensive AI-powered data experience platform that enables businesses to accelerate innovation and growth through generative AI, natural language processing, and advanced analytics while maintaining data security and governance.
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What is Domo.AI

Domo.AI is a suite of artificial intelligence services built on Domo's data experience platform. It provides businesses with tools for chat-style data exploration, flexible AI model creation and management, seamless deployment, and robust governance and security. Domo.AI aims to make AI accessible and actionable for everyone in an organization, from data scientists to business users, by integrating AI capabilities with Domo's end-to-end connected data stack.

How does Domo.AI work?

At the core of Domo.AI is the AI Service Layer, which serves as a secure foundation for creating, training, and executing AI models. Users can leverage built-in capabilities like natural language processing for data exploration and insights generation, or connect external models from providers like OpenAI, Databricks, and Hugging Face. The platform offers features such as AI Chat for intuitive data querying, automated report generation, and pre-built Universal Models for tasks like forecasting and sentiment analysis. Domo.AI also includes AI Model Management tools that allow organizations to develop, deploy, and monitor AI models within a controlled environment, ensuring transparency and minimizing risk.

Benefits of Domo.AI

By using Domo.AI, businesses can democratize access to AI-powered insights across their organization, accelerating decision-making and driving innovation. The platform's security features and governance controls help mitigate risks associated with AI adoption. Domo.AI enhances productivity by automating data analysis tasks and generating actionable insights. It also provides flexibility for both low-code and full-code developers to create AI-powered applications and visualizations. Overall, Domo.AI enables companies to harness the full potential of their data assets while maintaining control and transparency in their AI initiatives.

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