Microsoft 365 Copilot can now be trained on company data, boosting accuracy and relevance in understanding bank policies or hedge fund reports.
Tools introduced for building AI agents that can communicate with each other in Teams and remember context from past conversations.
New prebuilt AI agents like Researcher and Analyst are available for tasks such as deep analysis and coding complex tasks.
GitHub Copilot can now autonomously handle coding tasks like refactoring, bug fixes, and feature creation across multiple files.
Integration of operational databases, analytics, and AI in Azure Cosmos DB to allow real-time transactional data access for AI agents.
AI features like Microsoft Edge's embedded mini AI model in browsers and Windows 11's local AI platform provide privacy-sensitive AI solutions.
Focus on enterprise security and compliance controls for AI applications to ensure data governance, security, and compliance in organizations.
Introduction of open standards like Model Context Protocol (MCP) and NLWeb, enabling interoperability and agent interaction in the 'agentic web'.
Microsoft's initiatives aim to facilitate AI collaboration, secure data handling, and compliance within the industry, such as in financial institutions like banks.
The announcements suggest a shift towards more sophisticated AI applications and enhanced data analytics capabilities for banks and other businesses.
These advancements are poised to transform how businesses leverage AI, collaborate among AI agents, and ensure secure and compliant AI-driven operations.