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Salt Lake City, UT 84115 USA

Conference Room AI Capabilities

Next-Gen Meeting Intelligence

📍 Speech-to-text transcription 📍 Real-time summarization 📍 Sentiment & topic analysis 📍 Actionable feedback 📍 Multi-speaker recognition 📍 On-prem privacy & security

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Next-Gen Meeting Intelligence

Microsoft Teams & Graph API Integration

📍Fetch Room Reservations & Attendees from Outlook & Exchange

📍Auto-Send Meeting Summaries via Microsoft Teams & Outlook

📍Save Transcripts & Summaries to OneDrive / SharePoint

📍Create Follow-Up Tasks in Microsoft To Do & Planner

📍Post Key Insights & Action Items to Teams Channels

📍Trigger Next-Meeting Scheduling Based on AI-Identified Needs

Microsoft Teams & Graph API Integration

On-Prem AI Hardware Configuration Compact

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AI-optimized hardware for natural language processing (NLP) and real-time analysis

The NVIDIA RTX 6000 Ada OR L4 deliver outstanding deep learning performance, enabling speech recognition, AI-enhanced audio processing, and meeting analytics.

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The AMD EPYC 7313P OR Intel Xeon Gold 5318Y CPU handle AI pipelines by providing the multi-core power needed for AI-based conversation processing, meeting intelligence, and multi-user workload management.

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The Crucial 64GB Kit runs transformer-based NLP models without latency issues. Supports upcoming generative AI models for real-time conversation enhancements.

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SAMSUNG 990 PRO SSD NVMe M.2 PCIe Gen4, M.2 2280 Internal Solid State Hard Drive provides Lightning-fast storage for AI models; real-time speech-to-text processing, transcript archiving, and video/audio analysis while reducing data retrieval time for meeting summaries, keyword extraction, and sentiment analysis.

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10GbE networking (Ubiquiti UniFi Switch Pro 24 PoE) is crucial for real-time AI workloads, fast cloud backups, and low-latency data access. Here are the best enterprise-grade and small-business solutions:

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Liquid Cooling for the NIVIDA RTX 6000 maximizes cooling efficiency under sustained AI processing allowing for overclocking and extended AI workloads. It is ideal for conference room environments and compatible with all major custom liquid cooling loops

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Power Efficiency & Performance Considerations

🔋 Total Power Draw: ~450W – 700W (varies based on GPU selection).

🔋 Supports OpenAI, NVIDIA TensorRT, and ONNX runtime acceleration for efficient natural language processing.

🔋 Designed for future AI upgrades, including edge AI processing for smart conference rooms.

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Power Efficiency & Performance Considerations

Driving Productivity and Accountability.

Our AI-driven conference room system integrates with Microsoft Teams & Graph API to capture, analyze, and distribute meeting insights effortlessly. This ensures that all attendees receive AI-generated summaries, key takeaways, and action items directly within their Microsoft 365 environment.

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Driving Productivity and Accountability.
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