Class Introduction
The meeting was a demo class for an AI Business Practitioner training program, focusing on how to apply AI to business processes without deep coding. Team explained the program’s approach, linking AI to data analysis, anomaly detection, prediction, and executive reporting, using tools like Power BI and AI-driven models. ALI shared his need to use asset management data for abnormality detection, predictions, and executive-level storytelling in professional reports. Team elaborated on the role of AI in automating non-value-added tasks, improving decision-making, and integrating with tools like Power BI and Excel. Amr asked about the tools to be used, and Team clarified that the program would focus on Microsoft 365 Copilot, with options to use ChatGPT and Claude, and explained the concept of LLMs and AI agents. The session included a live demonstration of setting up personas and notebooks in Copilot to personalize AI responses, and Team emphasized the importance of prompt engineering and custom instructions. Participants confirmed their understanding of personas, notebooks, and prompt engineering, and the session concluded with an overview of the program roadmap.
AI Business Practitioner Training Introduction
The team conducted an introductory session for an AI Business Practitioner training program, with participants including Ali, Rogers, Shaikha, and Amr. Ali explained his specific interest in using AI for asset management data analysis, focusing on anomaly detection, predictions, and creating professional executive presentations rather than just data visualization. The instructor clarified the distinction between business intelligence and AI capabilities, explaining that AI excels at anomaly detection, predictions, and recommendations while requiring a solid data foundation, and assured Ali that the program would address his specific needs starting from basics.
Data Management and Automation Strategy
Ali discussed the challenges his organization faces with managing large amounts of data using SAB for asset management and various technical tools, emphasizing the need for efficient data analysis to support business decisions. The team explored how automation, including tools like Power BI, can transform business processes by reducing manual effort while maintaining job relevance rather than causing job loss. Amr and the team highlighted the importance of adopting a mindset that leverages AI and data analysis to enhance decision-making and strategic outcomes, rather than viewing automation as a threat.
Related Offerings
AI Training Tools Discussion
Amr thanked the team for the demo class and asked about the specific AI tools and programs that would be covered in the training, including whether subscriptions would be needed. The team explained that the training would focus on Copilot, which integrates capabilities from both OpenAI and Claude within Microsoft Office applications and enterprise tools. They clarified that while Copilot is sufficient for the training program, additional subscriptions for Claude or ChatGPT could provide added benefits for independent testing.
Microsoft 365 Copilot Configuration
The team discussed setting up and configuring Microsoft 365 Copilot with Excel, focusing on creating personalized personas and notebooks to improve AI responses. The instructor explained how to use the TeamAcademy persona library to customize AI instructions and demonstrated creating notebooks for specific roles. The key assignment for week one is for participants to create their own persona library and define proper prompts with task, context, examples, format, tone, and persona components. The next class will begin more in-depth training on Excel, Word, and PowerPoint applications.
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