Explore how Model Context Protocol (MCP) is transforming enterprise AI from isolated pilots into scalable, governed operations through this masterclass.
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In this AI Agent & Copilot Minute, Mason Siefert details the impact of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) on making AI assistants a trusted source.
CIOs need secure foundations, enterprise agreements, and clear data classification policies when it comes to AI tools. The solution: deliberate paths for specialization.
In today’s adoption ‘gray zone,’ Microsoft partners need to consider AI’s impact on work and roles, expanding their focus beyond technology.
Mason Siefert details the four sessions that make up the Agentic Strategy masterclass, taking place on March 19 during the AI Agent & Copilot Summit.
Stoneridge Software CEO Eric Newell details his session at the upcoming AI Agent & Copilot Summit, which will cover how to build a secure and productive AI strategy.
Many companies are offering only surface-level reskilling, with few providing a long-term vision for human roles in AI-driven businesses.
AI models can classify and analyze content to assess whether it is likely to be machine-generated, aiding in detection at scale. The Microsoft stack support a fraud-resistant-by-design security posture.
Mason Siefert defines the impact that the general availability of the Sentinel MCP Server has on enterprises and security teams in this AI Agent & Copilot Minute.
Across four focused sessions, the following masterclass will outline how to connect people, processes, and data so agentic systems scale reliably and improve customer outcomes.
Industries such as healthcare can benefits from OneDrive agents grounded in internal policies, procurement, and workflows, thereby supporting entire teams at scale.
In the absence of a dedicated data expert, AI compressed what could have been a multi-day investigation into about an hour, then humans resolved the Fabric overload.
Across four focused sessions, gain a playbook for prioritizing sales and service agent use cases, governing models, and scaling pilots to drive revenue and improve customer outcomes in this masterclass.
Winning with AI is about bigger models and resilient infrastructure. OpenAI is addressing both requirements by supporting millions of queries per second while managing user data at global scale.
Failure becomes cheaper, and learning happens faster, as teams utilize AI to generate and test variations before committing to engineering.
Financial services, government, and education firms all made major Copilot investments, while the Dragon Copilot for healthcare continues to streamline doctor-patient interactions.
Siefert and Dorward reflect on the industry’s transition from AI curiosity to production, with organizations actively deploying agents, copilots, and data strategies that drive measurable business impact.
Making Copilot Studio available within Visual Studio Code is a big step forward, integrating AI agents directly into developers’ daily workflows.
This masterclass will explore how Agents and Copilot in D365 F&SCM help organizations move from reactive ERP processes to proactive, governed decision-making.
Expanded partnership taps into the most advanced OpenAI models and offers them directly to ServiceNow customers, who will be able to keep pace with the latest innovations.