AI Platforms and Infrastructure
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Microsoft is building three AI platforms: Copilot (UI), Copilot Actions (extensibility), and Copilot Devices (hardware), with Copilot Studio enabling low-code/no-code agent creation for increased productivity.
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Massive investments in AI infrastructure include liquid-cooled data centers, renewable energy, and custom silicon like Nvidia A100 and AMD chips, marking a golden age for systems innovation.
Data and Analytics
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Copilot Analytics measures individual AI usage and correlates it to business outcomes, enabling real-time ROI tracking and driving adoption through metrics like increased sales or yield.
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Microsoft is building a comprehensive data estate in the cloud with Azure, including Cosmos database, SQL, and Fabric for analytics workloads, preparing data for AI model usage.
AI Development and Deployment
- Foundry, a cloud-native application server for AI models, aims to streamline model development, deployment, and fine-tuning for specific use cases, with significant momentum in India.
AI Education and Trust
- Microsoft commits to training 10 million people in India on AI skills by 2030, focusing on translating skills into real impact in communities and industries while prioritizing trust, security, privacy, and safety in AI development.