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ACG Research Analyst Panel: Predicting Traffic Demands and Analyzing Patterns for Networks 

Graphiant
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-Hosted by Ray Mota at ACG Research at the AI Networking Summit ONUG Spring 2024 Event.
This session delves into the transformative role of AI in network optimization, focusing on predicting traffic demands and analyzing traffic patterns for effective route determination. Attendees will gain insights into the integration of AI for dynamic route optimization and design, ensuring enhanced network performance and management through advanced link-level configurations and real-time traffic demand matrices prediction.
Agenda:
-Introduction to AI in Network Traffic Optimization: An overview of how AI is employed to predict traffic demands and analyze traffic patterns for optimized routing.
-Advanced Techniques for AI-Driven Route Optimization: Exploring AI methodologies for real-time and predictive route optimization, including dynamic routing protocols and link-level configuration strategies.
-Case Studies and Impact Analysis: Presenting real-world applications and the significant impact of AI on network performance, scalability, and reliability.
-Interactive Q&A Session with the Panel: An opportunity for attendees to engage with experts and discuss AI’s role in network optimization, challenges, and future directions.
Starring:
-Ray Mota, CEO and Principal Analyst at ACG Research
-Mark Berly, Chief Technology Officer - Data Center Networking at Aruba, a Hewlett Packard Enterprise company
-Jahanzeb Baqai, Director, Product Line Management at Ciena
-Ali Shaikh, Chief Product Officer at Graphiant
-Neil Anderson, VP, Cloud, Infrastructure, and AI Solutions at World Wide Technology

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13 июн 2024

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