Welcome to the AI Copilot Podcast, analyzing the latest AI Copilot and agent developments from Microsoft and its partners, delving into customer use cases, and exploring how AI plus the Cloud helps customers reimagine their business. In this episode, Marshall Toplansky, faculty fellow for Innovation at Chapman University, discusses the upcoming AI Copilot Summit with Tom Smith. Toplansky is on the event programming committee.
Highlights
Role in AI and the Microsoft Business Apps Community (01:14)
Toplansky shares his background in the tech industry and his role at Chapman University. He discusses his work with AI copilots in the classroom to enhance student engagement and retention, highlighting the use of AI to teach students about responsible AI usage and innovation strategies. He uses Microsoft business apps for teaching quantitative analysis and analytics and emphasizes the importance of AI in automating data and analytics tasks.
Most Compelling AI Projects (03:58)
Toplansky describes working with Breakout Learning, an AI-based platform for student engagement. The platform uses AI to facilitate group discussions and assess student learning outcomes. It helps students prepare for classroom interactions and enhances their engagement.
AI Copilot Summit NA is an AI-first event to define the opportunities, impact, and outcomes possible with Microsoft Copilot for mid-market & enterprise companies. Register now to attend AI Copilot Summit in San Diego, CA from March 17-19, 2025.
Excitement Around AI Copilot Summit, Advice to Attendees (06:14)
Toplansky expresses his eagerness to hear about copilot use cases at AI Copilot Summit. He highlights the potential for AI to optimize business processes in real-time. He also notes the importance, and the benefits, of networking and idea sharing at the summit.
2025 Copilot/Agent Outlook and Predictions (09:54)
Toplansky discusses the rapid pace of AI innovation and the potential for autonomous AI actions. He emphasizes the role of agents in prescribing optimal outcomes based on AI patterns, adding he believes AI and agents will outperform humans in business processes within a short period.
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