AI-Enhanced Traffic Steering: Predicting Traffic Demands and Analyzing Patterns for Network Efficiency

Spring 2024

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.

Who Should Attend: This session is designed for network engineers, AI researchers, data scientists, network architects, systems engineers, network operators, traffic management professionals, and anyone keen on the intersection of AI and network optimization.

 

Speakers:

Ray Mota, Ph.D., responsible for the Carrier Strategy & Infrastructure ServicesandSD-WAN Service, brings a talent for complex technical and critical thinking and provides strategic direction, sharp analysis, and expert advice on networking issues, specializing in design, implementation, and troubleshooting. Prior to founding ACG Research Dr. Mota worked for Aberdeen Group, ManageAll, Micros-To-Mainframes, Advanced Technology Group, Eastman Kodak and the IRS. As a CTO, he designed, implemented and supported complex trading floor systems and large WAN Frame Relay and ATM networks. He also provided training on Sniffer, HP Advisor protocol analysis tools, and MPLS architectures. Ray has also developed cloud applications and has a software patent attributed to him.

Ray is recognized as an expert in topics relating to networks, managed services, operational efficiency, and business modeling. He has been the keynote speaker for global telecom events. His insightful commentaries and analyses have been published in The Wall Street Journal, Washington Post, Bloomberg, Telecom Magazine, MSNBC, CNN Money, Forbes, Fortune, Businessweek, NY Times, SF Chronicle, and other industry publications.

On the personal side, Ray holds 13 amateur baseball World Series titles and has coached at the Arizona Diamondback Training Center and the Phoenix Prospectors a professional baseball team which won the championship on 2012 & 2013. His successful baseball career inspired him to write Maximum Ability, (Lulu.Com, 2005), which focuses on mind power and using the cognitive abilities involved in sports to achieve excellence in not only the athletic arena but also in business fields and in other aspects of a person’s life. Ray donates 100 percent of the proceeds to Motavation Group, which organizes sporting events for sick children, (http://www.lulu.com/content/110670). In October 2000, HispanicBusiness.com selected Ray, with other notables Sammy Sosa of the Chicago Cubs and Alex Rodriguez of the Texas Rangers, as one of the top 100 most influential Hispanics in the United States.

Over the last 30 years Mr. Berly has had the opportunity to be at the epicenter of Ethernet networking. Holding senior technical and executive roles at the industry’s most respected networking companies acting as a key contributor defining, building, and implementing innovative products used to power the world’s largest networks. Holder of multiple patents and trusted technical adviser for many of today’s largest corporations, executives, and IT teams.

Related events