Description
This video clip showcases a user interacting with Selector Copilot, our new conversational AI chatbot, to ask contextually relevant questions about their network usage and health.
Video length: 1:55
Narrator: To facilitate team collaboration, Selector supports an integrated conversational AI known as Co-Pilot. Co-Pilot leverages a natural language interface to retrieve and render analyzed insights from the Selector analytics platform and is accessible through preferred collaboration software such as Slack, Teams, Zoom, and similar platforms. Internally,
Co-Pilot leverages a combination of an integrated large language model to interpret natural language queries and a generative AI to summarize the results in a human-readable way.
Operators may leverage Co-Pilot to accomplish a wide variety of tasks, both to support general awareness of the health of the environment and to support triage. They may ask questions about who is using a given service at a given time. The natural language query is understood by the Selector system, with a contextualized response delivered back to the requesting user. The result is then made available to the rest of the team, enabling them to follow along.
Similarly, they may ask for an inventory of active devices on the network. Responses to these types of inventory queries can be further contextualized with additional information that might speed the triage process. They may further interrogate the system, asking for information about a given user’s experience with the Wi-Fi. Detailed technical information can also be surfaced, enabling detailed technical analysis of the health of a given device.
Most importantly, operators may ask a variety of technical questions related to the overall health of the system. Here, an operator interrogates the health of a link. The response is meaningfully contextualized, summarizing the results back in a human-understandable way.