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Explore Cisco's strategic unification of its enterprise networking platforms in this 28-minute conference presentation that details how Meraki and Catalyst are being integrated to deliver a consistent user experience across cloud, on-premises, and hybrid deployments. Learn about the "build once, deploy twice" philosophy driving this convergence, where new Cisco hardware including switches, wireless routers, and IoT equipment now supports both cloud and on-premises management out of the box, allowing customers to choose their preferred management method without being constrained by purchasing decisions. Discover the unified hardware and licensing model, the "magnetic UI framework" creating common user experiences across all Cisco products, and the consistent APIs enabling infrastructure as code and robust third-party integrations with systems like ServiceNow and Splunk. Understand how the common AI and data layer, powered by a single Cisco cloud and shared algorithms, enables deployment of the AI Assistant chatbot on both Meraki Dashboard and Catalyst Center using the same backend for identical experiences. Examine Cisco Workflows, a free low-code solution integrated into the Meraki interface that offers templates and horizontal integration across domains and vendor products via APIs. Investigate the "Global Overview" cloud-based product that provides customers operating both cloud and on-premises infrastructures with a single cloud experience to integrate multiple Meraki organizations and Catalyst Centers, offering consolidated network health visibility, unified inventory, and single sign-on capabilities. Explore AI Canvas, currently in alpha, which offers cross-domain collaboration and troubleshooting by integrating multiple data sources and third-party applications via natural language AI agents. Learn about Cisco's proprietary "deep networking model," a purpose-built Large Language Model trained on Cisco's extensive knowledge base including TAC and CX insights, designed to deliver highly specific, accurate networking solutions without using customer data while continuously learning from live telemetry to accelerate root-cause analysis and provide automated remediation within a human-in-the-loop model.
