Turn account insights into action with Copilot in Monetize

The use cases include:

• Understand UI elements and workflows in real time – Customers can ask Copilot about specific UI fields, settings, and navigation steps, gaining instant insights without stepping away from the platform.
• Understand best practices to create and edit an object – Copilot provides step-by-step guidance, allowing customers to edit and create objects, understand bidding strategies, and other platform elements without external assistance.
• Resolve queries instantly, reducing reliance on support teams – Instead of submitting support requests or waiting for assistance, customers can get immediate answers from Copilot, streamlining troubleshooting and operational efficiency.
• Access insights beyond the UI – Copilot offers contextual knowledge on APIs, system configurations, and integrations, bridging the gap between UI interactions and technical back-end components.
• Improve efficiency and reduce onboarding time – Customers can quickly learn platform functionalities through Copilot’s interactive guidance, reducing onboarding time and accelerating adoption.

Copilot in Monetize supports prompt input and response in the following languages. English, French, Italian, Spanish, Portuguese, Simplified Chinese, Traditional Chinese, German, Japanese, Dutch, Filipino, Korean, Russian, Thai, Turkish, Indonesian, Polish, Vietnamese, Malay, Romanian, Greek, Hungarian, Hindi, Czech, Swedish, Ukrainian, Norwegian, Finnish

Yes, users can provide feedback on Copilot's responses by selecting the thumbs up or thumbs down symbol, which helps improve and train the models on the backend.

You can find Microsoft’s Privacy Statement here: https://go.microsoft.com/fwlink/?LinkId=521839. Please note the section titled ‘Artificial Intelligence and Microsoft Copilot capabilities’.

Copilot retains chat history when the widget is closed and reopened within the same session. Users can clear chat history and start fresh by selecting Start over in the top-right corner of the Copilot preview window.

The Responsible AI Standard emphasizes that AI systems should be designed with privacy and security in mind. This means that user data, including prompts, should not be used to train models without explicit consent and proper anonymization.

The training data for LLMs typically includes a wide range of publicly available and licensed data. The Responsible AI Standard outlines that any data used for training must comply with privacy laws and regulations, ensuring that sensitive or personal data is protected.

According to the Responsible AI Standard, data from individual users or specific seats should not be used for training AI models without explicit consent. This is to ensure that user privacy is maintained and that data usage is transparent and ethical.

The Responsible AI Standard mandates that user permissions must always be respected. This includes obtaining consent for data usage, ensuring data security, and providing users with control over their data. Compliance with these principles is essential for building trustworthy AI systems.