Skills codify workflow details that are too often managed as ‘institutional knowledge,’ making those instructions accessible and reusable for agentic AI automation.
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Companies need to apply their philosophy to AI initiatives to drive success; optimal use of the Microsoft stack can create a strong philosophical foundation.
Deloitte partner says most organizations are still in the transition phase of tapping AI in their ERP environments, but the technology can improve data consistency and improve financial compliance.
Leaders have a choice with AI; get really fast at fixing things or start building systems that don’t require you in the first place.
Updates include learned context and skills that get applied to future sessions as well as automatically created content that adheres to corporate standards.
Recent studies highlight the need to invest in AI for long-term strategic benefits — including driving enterprise transformation — where traditional ROI measurements may not apply.
Toolkit acts as a gatekeeper, preventing unauthorized access by AI agents and addressing top risks including goal hijacking and memory poisoning.
Latest MCP product from Microsoft works with cloud or on-premises SQL databases for efficient, secure connections to corporate resources without requiring language or framework expertise.
Plugin for popular coding platforms injects the ‘skills’ needed to deliver agentic automation without deep knowledge of an organization’s Dataverse environment.
AI initiatives will fall for those companies that focus on the model and interface without building a solid underlying foundation to drive tangible business value.
When you combine Nemo Claw with DGX Spark, you can experiment with autonomous agents locally, avoiding high API bills and maintaining privacy and control.
If the new model of one manager for every 50 engineers at Meta is successful, it could reshape how AI teams are structured across the industry.
The future — where users can describe outcomes in English and use AI to bridge intent and execution — isn’t limited to one AI tool. The real win comes when you use the right tool for the right work.
This session covers how AI agents turn ERP into a system of action, connecting data, decisions, and workflows to execute business processes at scale.
This Innovation Burst session breaks down core Copilot Studio components for building custom agents, designing conversation flows, and data integration strategies.
Learn from this panel about how to apply frameworks to make smarter, intentional decisions pertaining to AI adoption.
Gain insights from Altman Plants on how aligning processes, data, and AI at massive scale can reduce waste, increase sell‑through, and turn operational complexity into a competitive advantage.
Gain insights from this demonstration on enterprise integration patterns, architectural design principles, and production strategies for data agent systems.
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.
Learn how readiness gaps, strong governance, and organizational trust determine successful Copilot and AI adoption in this session on responsible AI.