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| Turning AI ambition into business value requires more than new technology. It requires trusted data, secure foundations, innovative solutions, and a clear understanding of where to focus next. Microsoft Discovery Sessions bring together expert perspectives, practical guidance, and real-world examples to help you explore new opportunities, navigate complexity, and move forward with confidence. Beginning in October, Discovery Sessions will introduce a new experience that makes it easier to discover content aligned to your interests. Register once, browse upcoming sessions in one place, and select the experiences most relevant to your business and technology priorities. Browse upcoming Microsoft Discovery Sessions and reserve your spot. |
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| Build Context-Aware Agents That Drive Real Business Decisions
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| Monday, September 21, 2026, 11:00 AM – 12:00 PM (GMT+01:00) |
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| Learn how Microsoft Fabric, Azure AI, and Copilot Studio help ground AI in business data and processes. See how context-aware agents deliver more relevant insights, improve decision-making, and drive measurable business outcomes. |
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| Rethinking Business Processes for the AI Era |
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| Tuesday, September 22, 2026, 11:00 AM – 12:00 PM (GMT+01:00) |
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| Discover how agentic applications connect data, workflows, and decisions to help teams move from insight to action faster. See how intelligent systems can streamline work and drive better business outcomes. |
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| Build Agents and Software Faster with AI That Knows Your Business |
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| Wednesday, September 23, 2026, 11:00 AM – 12:00 PM (GMT+01:00) |
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| Accelerate app development with AI-powered tools and agents that understand your business. Discover ways to automate tasks, simplify workflows, and deliver solutions faster while keeping business context at the center of innovation. |
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| Building a Secure Foundation for AI Transformation |
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| Thursday, September 24, 2026, 11:00 AM – 12:00 PM (GMT+01:00) |
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| Create a secure, governed foundation for AI adoption. Explore practical strategies for managing risk, compliance, and data protection while enabling innovation and preparing your organization for AI at scale. |
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