Through real-world scenarios, this session demonstrates how MCP works and why it’s important for your business.

Want to understand how to use Microsoft Fabric as the foundation for AI, analytics, and automation? Dive into the practical, hands-on guide in this session.

Explore what MCP servers are, why they matter for the Business Central ecosystem, and how they create new possibilities for AI-driven automation and integration.

Start thinking creatively about where your business can benefit most from AI as this session explores its impact on ERP systems.

This session applies real SMB scenarios to demonstrate how MCPs reduce manual effort, increase accuracy, and connect siloed business processes.

Make Copilot a reliable partner for building, making decisions, and efficiently executing tasks by following these session insights.

Review these 10 practical scenarios that drive results in Microsoft 365 apps, focusing on tactics, success metrics, and leadership actions.

Dive into the Copilot Control System in this session covering the latest Microsoft 365 Admin Center updates and other Copilot features.

Learn how native MCP integrations with Dynamics 365 enable AI agents to read, reason, and act inside ERP processes.

This session provides insights on the fundamentals of AI agents, such as types of agents and capabilities that translate into measurable business impact.

Discover how to use MCP prompts to turn natural language into powerful, multi-step workflows in this session.

Advances from summarization to execution with AI, third-party agent marketplaces, and no-code solutions for clinical workflows top the innovations at last week’s big healthcare conference.

TMC provides key takeaways from its Anti-Workshop Approach to AI enablement to bridge market gaps and turn agents into real production outcomes.

Avalara explains how AI is redefining the tax landscape and how its AI-powered platform reduces risk, increases speed, and enables new efficiencies.

sa.global defines why combining Ai with deep industry expertise is the trigger for rewiring operations, decisions, and outcomes for businesses.

Celigo explains how it helps organizations close the Operational AI Gap through embedding AI into integrations and business processes.

Vertex explores how AI and intelligent tax engines are transforming indirect tax compliance and how generative AI can help unify tax data across systems.

Definity provides real-world use cases of agentic AI helping clients streamline processes, improve efficiency, and drive measurable business value.

AI agents are starting to handle purchases, and companies like Google and Mastercard are racing to build the systems that make those transactions safe and trusted.

AI is evolving from a feature to a living, breathing ecosystem of workflows. That’s prompting customers to shift from experimenting to re-platforming.

Armanino’s Gina Montgomery explains why organizations must move beyond AI experimentation and focus on designing trusted Copilot and agent experiences.

Mason Siefert explores the concept of smart friction in the grocery industry, which enhances brand identity and customer experience.

Massive Google Cloud customer use cases and the emergence of patient agency supported by AI are early highlights of HIMSS 2026, according to healthcare tech exec Paul Swider.

Andrea Pinillos shares how Microsoft helps enterprise customers run strategic engagement events through internal tools and explains how similar practical solutions can help organizations deploy AI agents that connect to real business data.

The Governance and Access Control Masterclass at the AI Agent & Copilot Summit brings together experts to share practical frameworks, guardrails, and strategies for scaling AI agents securely while protecting sensitive data and maintaining compliance.

Microsoft demonstrates the real-world power of Copilot Studio with a customer support AI agent that reduces latency by 61% and cuts human escalations by 70% through multi-agent orchestration.

The Microsoft ecosystem is designed to scale in layers, so users should start with productivity, move into automation, and then expand into enterprise agents and intelligence. Understanding this progression will yield better, faster outcomes.