You can create conversation threads on specific topics and ask follow-up questions. The Control Hub Cisco AI Assistant responds with answers within the context of the previous interaction. Threads are useful if you want to keep your interactions with the AI Assistant on specific topics distinct, so that you can revisit a topic later and continue where you left off. The context of the conversation is maintained and used by the AI Assistant to further refine its responses to follow-up questions.

Context management in threads offers several benefits in organizing and managing conversations in the AI Assistant:

• Relevance—By setting the context of a conversation to a specific topic or project, the AI Assistant can provide more relevant responses and suggestions. This ensures that the information provided is tailored to the specific context, leading to more accurate and helpful assistance.
• Efficiency—Context management allows you to quickly switch between different topics or projects within the AI Assistant. By maintaining separate contexts for each thread, you can easily navigate and find the relevant information you need without getting mixed up in unrelated conversations.
• Organization—Threads and context management provide a structured way to keep track of different topics and projects. You can create separate threads for different conversations, making it easier to locate and reference specific discussions when needed. This helps to maintain a well-organized and clutter-free environment.

Overall, context management in threads improves relevance, efficiency, organization, and collaboration in the AI Assistant.

There is no limit to the number of threads you can create.

Examples of contextual questions using threads

• What is a virtual background?

• How do I set it up in Control Hub?

• What is the maximum size?

Using workspaces as context in AI Assistant lets you view and manage devices and workspaces across your organization. You can also use it to monitor device issues and workspace utilization. Your questions are answered with insights into your deployment and actionable steps you can take to improve meeting experiences and resource management.

You can get information on Cisco collaboration devices, including IP phones, and third-party peripherals that are connected to a Cisco device.

In the AI Assistant you get read-only access to your organization’s workspaces and devices. You can find information on individual devices and workspaces, all devices and workspaces in your organization, or a subset based on location settings. The AI Assistant with Workspace context provides:

• Comprehensive monitoring: View and track devices and workspaces across the organization.

  They also provide comprehensive event history tracking for both individual devices and the entire organization, alongside error code lookups to simplify issue resolution.

• Configuration management: Monitor device configurations and track changes over time.

  Check current configurations and discover the organization's configuration schema. They also support side-by-side configuration comparisons and template-based audits, helping to identify and resolve deviations from standard templates.

• Utilization analytics: Access detailed insights into how workspaces are being used, including occupancy trends and frequency.

  Track environmental and usage metrics, such as temperature, noise, and booking patterns, to help rank room popularity and identify under-utilized or overcrowded spaces.

• Historical diagnostics: Retrieve and analyze device history to identify patterns and resolve recurring issues faster.

Example prompts

• Workspace insights and optimization

  • “Analyze workspace usage across all conference rooms this week”

  • “Show me top workspaces that need my attention”

  • “Which rooms have the lowest utilization rates?”

• Troubleshooting

  • “Give me a guide to fix the audio issue in Room 3B”

  • “What are the top unresolved issues in the last 24 hours?”

  • “Show me all devices with connectivity issues”

• Device management

  • “Spot the difference between this device and its template configuration”

  • “Compare device settings across all rooms on Floor 5”

  • “Show me devices that need firmware updates”

Known limitations

• Currently limited to read-only operations, where all information presented is observational and does not alter the state of devices, workspaces, or configurations.
• You can only access data from workspaces and devices your role settings gives you access to.
• Charts are currently not available.

Types of questions you can ask the AI Assistant

• How do I configure SSO?
• How do I add users?
• How do I set up office hours for my devices?
• How do I create groups?
• How do I turn off the chat feature in meetings for all my users?

How does the AI Assistant use Artificial Intelligence?

The AI Assistant answers are sourced from the articles available in Webex Help Center using the Retrieval-Augmented Generation (RAG) technique. Questions and answers are provided in English. Support for other languages may be available in future releases.

When you ask a question, the AI Assistant leverages Microsoft Azure infrastructure services, specifically Large Language Models (LLMs), to provide answers. Microsoft processes data, but does not store personal data shared with it, for delivery of this service.