AI Will Triple Your Network Traffic
Can Your Architecture Keep Up?

Your AI Strategy Is Only As Strong As Your Network
AI adoption is accelerating, but many organizations are discovering that successful AI initiatives depend on far more than choosing the right tools. Legacy networks, aging architectures, and capacity constraints can quickly undermine performance, security, and scalability.
Join experts from Bluewave, Cisco, and Comcast Business to learn what it really takes to build an AI-ready network.
The Numbers Speak for Themselves:

Whether you're just beginning your AI journey or preparing to scale existing initiatives, this session will provide expert guidance from Bluewave, Cisco, and Comcast Business to help you understand how to prevent your network from becoming a bottleneck.
What You'll Get in This Session:

- Understand what "AI-ready" really means: AI readiness isn't simply adding bandwidth or refreshing hardware. Learn why network architecture, connectivity, security, and data access all play a critical role in enabling successful AI initiatives.
- Prepare for increasing network demands: We'll explore how AI workloads are changing traffic patterns and what organizations should do now to avoid performance bottlenecks as capacity requirements continue to grow.
- Modernize without unnecessary spending: Discover strategies for evaluating your existing environment, identifying underutilized resources, and reallocating legacy networking investments toward AI readiness.
- Strengthen security while enabling innovation: As AI expands your infrastructure, it also expands potential attack surfaces. Learn how to modernize your network while maintaining a strong security posture.
Our Expert Panel:
We're bringing together experts from Bluewave, Comcast Business, and Cisco for a candid look at what AI is actually doing to enterprise networks (and what to do about it). Rather than hearing a single viewpoint, you'll gain insight from multiple areas of the technology ecosystem in one conversation.

Bob Schweiss
Solution Advisor, Bluewave
Bob has more than a decade of experience helping businesses plan, modernize, and support complex communications and network environments. His background spans UCaaS, CCaaS, SD-WAN, and enterprise infrastructure for growing organizations with a mix of hands-on architecture and customer-facing guidance.

Joe Austin
VP, Solutions Architecture, Comcast Business
As VP of Solution Architecture, Joe's team is responsible for designing custom network solutions and new product innovation supporting managed solutions for Large Fortune 1000 Companies. Joe draws on his 20 years of experience within the telecom and cable industry, with over 16 years specifically supporting Enterprise Customers.

David Antonsen
Solutions Engineer CCIE #7622 , Cisco
With 26 years at Cisco, David has led solution engineering and technical strategy for service providers, with deep experience in SD-WAN, SASE, data center, and VoIP environments. His background designing large-scale networks gives him a strong foundation in networking architecture and the business outcomes those environments need to support.
This Discussion is Ideal For
organizations that need to ensure their infrastructure can support what's ahead.
This discussion is particularly valuable for organizations that:
- Are planning or actively implementing AI initiatives across the business.
- Are approaching network capacity limits or experiencing increased application demands.
- Need greater visibility into whether existing infrastructure can support future AI workloads.
- Want to improve security while expanding AI capabilities.
- Are looking to optimize networking costs by replacing or repurposing legacy infrastructure investments.
Who Should Attend?
- Network Infrastructure Leaders responsible for ensuring enterprise networks can support growing performance demands and emerging technologies.
- Network Architects & Engineers looking to modernize network design, improve connectivity, and prepare infrastructure for AI-driven workloads.
- IT Infrastructure Directors evaluating technology investments while balancing performance, security, and operational efficiency.
- Cybersecurity Professionals focused on protecting expanding attack surfaces created by AI adoption and infrastructure modernization.
- Cloud & Data Center Teams managing connectivity between on-premises environments, cloud platforms, and AI applications.