Q indexes all connected data and content, “learning” aspects about a business, including its organizational structures, core concepts and product names.
And it take actions on a user’s behalf through a set of configurable plugins, like automatically creating service tickets, notifying particular teams in Slack and updating dashboards in ServiceNow.
Within a supported IDE (e.g., Amazon’s CodeCatalyst), Q can generate tests to benchmark software drawing on knowledge of a customer’s code.
To mitigate hallucinations (i.e. instances where Q might invent facts, a common problem with generative AI systems), admins can choose to have Q only pull from company documents as opposed to knowledge from any underlying models.
Both Copilot for Azure and Duet AI take the form of chat-driven assistants for cloud customers, suggesting configurations for apps and environments and helping with troubleshooting by identifying potential issues — and solutions.
Ray Wang, founder and principal analyst at Constellation Research, told TechCrunch that he believes it’s the “most important” announcement at re:Invent so far.
The original article contains 1,124 words, the summary contains 163 words. Saved 85%. I’m a bot and I’m open source!
This is the best summary I could come up with:
Q indexes all connected data and content, “learning” aspects about a business, including its organizational structures, core concepts and product names.
And it take actions on a user’s behalf through a set of configurable plugins, like automatically creating service tickets, notifying particular teams in Slack and updating dashboards in ServiceNow.
Within a supported IDE (e.g., Amazon’s CodeCatalyst), Q can generate tests to benchmark software drawing on knowledge of a customer’s code.
To mitigate hallucinations (i.e. instances where Q might invent facts, a common problem with generative AI systems), admins can choose to have Q only pull from company documents as opposed to knowledge from any underlying models.
Both Copilot for Azure and Duet AI take the form of chat-driven assistants for cloud customers, suggesting configurations for apps and environments and helping with troubleshooting by identifying potential issues — and solutions.
Ray Wang, founder and principal analyst at Constellation Research, told TechCrunch that he believes it’s the “most important” announcement at re:Invent so far.
The original article contains 1,124 words, the summary contains 163 words. Saved 85%. I’m a bot and I’m open source!