The Data and Fabric masterclass will deliver a practical roadmap for building a secure, AI-ready data foundation.
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Because Microsoft controls identity, productivity, business apps, and cloud infrastructure, intelligence runs across the entire stack, creating a decision layer embedded throughout the enterprise.
Recent events in the US and Canada highlight the privacy-public safety dichotomy, as well as questions on the responsibility of AI firms in sharing signals of future harm.
CIOs need secure foundations, enterprise agreements, and clear data classification policies when it comes to AI tools. The solution: deliberate paths for specialization.
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.
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.
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.
Enterprise Microsoft licensing practices need to evolve into tiers that reflect the type of work being done, which will result in greater clarity, predictability, and accountability.
AI-powered checkout and new agents push the retail industry closer to a ‘zero-wait’ state, where approvals and outcomes don’t sit in queue until humans act.
In physical AI use cases, software and robots collaborate and AI systems can execute real-world tasks, not just suggest them, going well beyond the capabilities of GenAI.
Anthropic’s donation of MCP spec to Linux Foundation garners broad industry support as vendors embrace interoperability and community development to drive AI forward.
As the availability of raw data for AI decreases, the focus shifts from the quantity of data to the quality and contextualization of the data collected. Businesses need to emphasize the importance of qualitative information.
Microsoft adds new insight into the user interface for Agent 365 and how it integrates previously dispersed functions in a unified format so stakeholders can monitor and act on their AI estates.
Agent technology is a critical addition to the Microsoft stack: it keeps everything moving without nudges, reminders, or bottlenecks, resulting in an organization in motion rather than in queues.
Microsoft Principal Solution Architect Dewain Robinson does a deep dive on new Copilot Studio features — and their benefits — that were introduced at last month’s Ignite conference.
Avanade draws on extensive customer engagements to deliver agentic AI platform with pre-built AI agents and templates to accelerate launch and scaling of AI.
Expanding its commitment to Model Context Protocol, Microsoft details new servers that give AI agents simplified access to services in key development and data management platforms.
Ignite 2025 positioned Microsoft at the forefront of AI-driven enterprise solutions, providing a new intelligence stack designed to simplify deployment and improve agent performance with customized context.
Michael Simms of Columbus shares how the organization applied AI to combat business challenges while working with Mad Engine.