Class Introduction
The meeting focused on practical applications of Microsoft Copilot across various tools, starting with a personal discussion about health and the impact of sedentary work. Team explained the MOS certification process and then demonstrated how to use Copilot notebooks (or workspaces) by setting up custom instructions and personas from a provided library to tailor AI responses to specific professional roles. The group discussed the role of AI in the workforce, with Team arguing that AI is a productivity tool rather than a job replacement, and shared an example of using AI to analyze investment principles and market trends. Team then demonstrated Copilot's capabilities in Outlook, including summarizing emails, drafting and refining responses, and scheduling calendar events. The session concluded with a demonstration of Copilot in Microsoft Teams, covering meeting transcription, AI-generated recaps, and the use of external tools like read.ai for meeting summaries.
AI in the Workplace Discussion
The team discussed the role of artificial intelligence in the workplace, with the speaker emphasizing that while AI is a productive tool, it cannot fully automate complex tasks and will not replace human jobs. They explained that AI should be used to automate mundane tasks, allowing humans to focus on business development activities and creative problem-solving. The speaker distinguished between two types of employees: those who resist sharing their knowledge and those who proactively learn new skills, noting that the latter are less vulnerable to AI disruption. The discussion concluded with plans to move to practical toolkit demonstrations, though the specific topic was cut off at the end of the transcript.
Investment Strategies and Training Plans
The team discussed investment strategies, focusing on the principles of Warren Buffett and the current market conditions between Indian and US equities. They noted that Indian equity had recently rallied while S&P 500 fell, attributing this to the bursting of AI investment bubble. The discussion concluded with plans to cover three topics in the training program: workspaces/notebooks, Microsoft Outlook, and Teams.
Microsoft Copilot Integration Discussion
The team discussed using Microsoft Copilot, clarifying that it has been integrated into a single app, eliminating previous confusion between Copilot Personal and Copilot 365. They explored the features of Copilot, including chat, co-work, and code, with a focus on notebooks and workspaces. The group learned how to create specialized notebooks or workspaces for different projects, emphasizing the importance of tailoring instructions to specific objectives for better AI responses. They also discussed prompt engineering elements like context, background, and persona, and began exploring how to set up instructions for a specific project, such as Team Academy.
AI Persona Customization in Notion
The team discussed how to use the TeamAcademy.click/persona library in Notion to create customized AI personas for different professional roles. Dinesh explained the process of copying project manager personas from the library and integrating them into the co-pilot system, emphasizing the importance of tailoring the personas to specific roles and contexts, such as an IT project manager at Qatar Airways working on flight operations. He highlighted the need to provide detailed instructions, references, and context to ensure the AI understands the specific requirements and challenges of the role. The team was guided on how to upload relevant documents and references to support the AI's understanding and performance in specific project scenarios.
Microsoft Copilot Document Management
The team discussed how to upload and reference documents in Microsoft Copilot, with Hany seeking clarification on using company cloud storage and OneDrive. The team explained that Copilot can handle large document collections through Microsoft Graph technology, which creates semantic models and vectors to enable efficient querying of metadata rather than raw document content. Angela asked about using multiple personas in one notebook, and the team advised combining capabilities rather than creating conflicting personas with different tone settings.
Related Offerings
Research Organization with Mind Maps
The team discussed using mind maps to organize thoughts and research, with specific guidance for Angela on how to structure her research process. The meeting took a brief 5-10 minute break and was scheduled to resume at 3:10 PM to discuss Microsoft Outlook and Microsoft Teams capabilities. Melanie asked a question about read-only instructions in a notebook, which was addressed by confirming that AI will not edit documents by default and any editing must be done separately in Word.
Microsoft Copilot Outlook Capabilities
The team discussed Microsoft Copilot's capabilities within Outlook, focusing on its ability to perform semantic searches and provide context-specific responses. Danish explained that Copilot can be used within Outlook or the standalone chat window, with better results achieved when used within Outlook due to its grounding in Outlook knowledge. The discussion covered features like scheduling prompts, exporting results, and using Copilot for email management and follow-ups. Danish demonstrated how to schedule prompts by clicking the three dots on a Copilot response and selecting "Schedule This Prompt."
Microsoft Copilot Email Management
The team discussed using Microsoft Copilot in Outlook for email management and calendar functions. They demonstrated how to use Copilot to draft professional responses to emails, schedule meetings, and manage calendar invitations. The discussion emphasized the importance of using AI as a tool to assist rather than automate processes completely, with recommendations to review and edit AI-generated content before sending. They also covered how to set up personalized email drafting instructions and inbox prioritization in Copilot settings.
Microsoft Teams Transcription Capabilities
The team discussed meeting transcription capabilities in Microsoft Teams. They clarified that attendees can enable live transcription during meetings, but non-attendees cannot access meeting records without special permissions. The team explained that Read.ai is an additional tool that can attend meetings on behalf of users and generate summaries, but it requires separate purchase and installation, and host approval is necessary for its use. They also noted that Team Academy meeting recordings are processed and shared through Vimeo to protect proprietary materials, rather than being made directly available through Teams.
AI in Microsoft Teams Implementation
The team discussed implementing AI capabilities in Microsoft Teams meetings, focusing on the Copilot feature. They explored challenges with meeting notes sharing and transcription, including issues with external participants and manual recording requirements. The discussion highlighted the benefits of AI-generated meeting summaries with screenshots, particularly for training purposes, and noted the ability to transcribe meetings in different languages. The instructor announced that the next class will focus on presentation skills, including PowerPoint, PDF creation, and infographics, with a brief mention of Google Gemini.
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