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News, news, news - we have lots of new news! Zoe and Kevin discuss the latest announcements from Microsoft about Copilot Wave 2 Spring Release. We delve into the significance of the Work Trend Index, the new user interface and search experience, and the introduction of memory and notebooks features. Then we dig into the management and reporting of agents, the concept of the human-agent ratio (including some extreme reactions to some new phrases from Microsoft...) and the importance of leadership in leveraging AI capabilities. Finally, we cover some of the magical events coming up.

Takeaways

• Wave 2 announcements from Microsoft include significant updates and features.
• The Work Trend Index is crucial for understanding productivity trends.
• A new user interface is being introduced for a better user experience.
• Memory features will enhance user interactions with Copilot.
• Notebooks will allow users to group and summarize conversations.
• The Create Experience will simplify content creation across platforms.
• Agent management is becoming more streamlined with the Frontier Program.
• Understanding the human-agent ratio is essential for effective delegation.
• Upcoming conferences will provide opportunities for community engagement.

Sound Bites

• "The skill of delegation is something that everyone wanted to get."
• "Minutes saved isn't cashable."
• "It definitely feels like conference season is in full swing."

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In this episode of Copilot Connection, Zoe and Kevin are joined by Gary Raife to discuss the transformative potential of AI and Microsoft Copilot in the healthcare sector. We explore the challenges of interoperability, the role of AI in enhancing patient care, and the exciting developments of Dragon Copilot. The conversation also touches on the integration of personal health data, the importance of trust and transparency in AI applications, and the future of healthcare driven by data and technology.

Takeaways

• Healthcare presents a significant opportunity for AI integration.
• Interoperability remains a critical challenge in healthcare systems.
• AI can enhance patient experiences and streamline workflows.
• Dragon Copilot introduces ambient listening capabilities for clinicians.
• Wearable technology can provide valuable health data for monitoring.
• Trust and transparency are essential for AI adoption in healthcare.
• Personal health data integration can improve patient outcomes.
• AI should support clinicians rather than replace them.
• The future of healthcare will be increasingly data-driven.
• Collaboration between technology and healthcare professionals is vital.

Key links

• Gary's blog

News

• Introducing Researcher and Analyst in Microsoft 365 Copilot | Microsoft 365 Blog
• Copilot Consumer Updates - Your AI Companion - The Official Microsoft Blog
• New capabilities in Azure AI Foundry to build advanced agentic applications | Microsoft Azure Blog
• Interpreter Agent
  • Interpreter in Microsoft Teams meetings - Microsoft Support
  • Kevin's view of Interpreter Agent
• Copilot Studio Toolkit updates announced
• microsoft/Power-CAT-Copilot-Studio-Kit
• Introduction - Model Context Protocol
• Announcing the Agent2Agent Protocol (A2A) - Google Developers Blog

Healthcare related

• Meet Microsoft Dragon Copilot: Your new AI assistant for clinical workflow - Microsoft Industry Blogs
• Microsoft Cloud for Healthcare | Microsoft

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How responsible are you with AI? Zoe Wilson and Kevin McDonnell are joined this week by Chris Huntingford (Director of AI at ANS among many other things!), focusing on responsible AI practices, data management, and the socio-economic impacts of technology. We covered the importance of transparency, accountability, and ethical practices in AI implementation. The discussion also touches on the cultural shifts required for successful AI adoption, the challenges of governance in AI systems, and the future of AI agents.

We also had an amazing announcement for the Copilot Fireside Chat that you can hear at the end! Or get a sneak peak on the Fireside Chat site.

Key takeaways:

• The importance of responsible AI practices is paramount.
• Data management and compliance are critical in the AI landscape.
• Socioeconomic impacts of AI technology must be considered.
• Education and critical thinking are essential for future generations.
• Creativity should not be overshadowed by AI advancements.
• AI-generated content can lead to a decline in quality and creativity.
• Legal accountability for AI deployment is necessary.
• Individuals must advocate for ethical AI practices.
• The EU AI Act sets important standards for AI accountability.
• Community engagement is vital for responsible AI development. Transparency is crucial in AI deployment.
• Shared responsibility involves vendors, deployers, and users.
• Accountability must be established at all levels.
• Data quality directly impacts AI outcomes.
• Cultural shifts are necessary for effective AI adoption.
• Governance in AI is more important than ever.
• Organizations should focus on training rather than cutting jobs.
• AI implementation requires careful planning and testing.
• Responsible AI practices must be prioritized.
• The future of AI agents needs robust governance frameworks.