Monday, June 1 | 10:00 a.m. – 6:00 p.m. ; Welcome Reception: 4:00 p.m. – 6:00 p.m. 

Tuesday, June 2 | 10:15 a.m. – 6:00 p.m. 

Wednesday, June 3 | 10:00 a.m. – 6:00 p.m. 

Thursday, June 4 | 10:00 a.m. – 2:00 p.m.; Brunch: 10:00 a.m. – 2:00 p.m.

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Enterprise AI adoption is accelerating rapidly, but many organizations are discovering that moving from pilots to production is being constrained less by compute availability and more by security, governance and operational readiness. As AI workloads expand across hybrid environments, enterprises need a structured approach to secure, scale and operate AI as a business‑critical system — not an isolated experiment. 

In this session, WWT introduces the ARMOR (AI Readiness Model for Operational Resilience) framework and explains how it is applied to help organizations secure and operationalize Cisco AI Factories at scale. ARMOR addresses AI readiness across six domains: Governance, Risk & Compliance (GRC), Secure AI Operations, Model Protection, Secure Development Lifecycle (SDLC), Infrastructure Security, and Data Protection — providing a holistic, practical model for enterprise AI security and resilience. 

You'll leave this session with ideas to help you: 

• Assess AI readiness across the six ARMOR domains and identify gaps that prevent scaling AI securely
• Embed security, governance, and operational controls into AI platforms from day one—without slowing innovation
• Align AI infrastructure, operations, and risk management to support sustainable, hybrid AI deployments

Presenter: Jillian Anderson-Nix, AI Security Strategist, World Wide Technology

Date: Wednesday, June 3

Time: 11:00 a.m. - 11:20 a.m. PDT

Session type: World of Solutions Session

Session ID: WOSPAR-2048

60% of developers now use artificial intelligence (AI) coding tools — yet fewer than 20% can reliably hand off work to an AI agent. The gap between adoption and real competitive advantage is where most organizations are stuck: pilots that shine in demos but stall against real codebases, real deadlines and fragmented teams.

This session draws on real customer stories, including a major QSR brand modernization (25–50% productivity gains, 60–70% migration time saved) and the Special Olympics 2026 Games (working beta in 3 days vs. a 4–6 week estimate) — plus WWT's own internal deployment data. Familiarity with software development workflows is recommended.

You'll leave this session with ideas to help you:

• Recognize and avoid the three most common failure modes — Endless Rebuild, Runaway Agent, and Capability Cliff — that derail enterprise AI coding programs
• Build a governance model that makes AI adoption fast and secure, without slowing developer velocity
• Apply a practical playbook covering model selection, context management, and enablement to turn individual productivity gains into organizational advantage

Presenter: Daniel McCown , Sr Creative Technologist

Date: Tuesday, June 2 

Time: 1:00 p.m. - 1:45 p.m. PDT

Session type: Breakout

Session ID: BRKPAR-2004

Qualifies for Cisco Continuing Education Credit: Yes

In this session, you'll hear the story behind WWT's NVIDIA NemoClaw hands-on lab: what we built, the decisions we made along the way, and what the experience taught us about deploying autonomous agents responsibly. Participants in the lab build an agent named Alex, and that journey surfaces the questions that matter most in any real deployment: How do agents plan and act reliably? Where does NVIDIA NemoClaw fit today, and what should you realistically expect from an early-stage platform? What does governance look like when the agent has autonomy rather than just instructions? And how does everything learned in a lab environment translate to enterprise workflows that actually need to work at 2 AM without a human watching?

You'll leave with a clear-eyed view of where the technology stands today versus where it's heading, and practical insight into how WWT thinks about the design choices that make the difference between an agent that's impressive in a demo and one that's trustworthy in production.

Presenter: Jon Duren, Sales Sr. Practice Manager, AI & Data Solutions, World Wide Technology

Date: Monday, June 1 

Time: 1:00 p.m. - 1:45 p.m. PDT

Session type: Breakout

Session ID: BRKPAR-2010

Qualifies for Cisco Continuing Education Credit: Yes

Monday, June 1, from 10:00 AM - 11:00 AM

Speaker: Samantha Stirmlinger, Customer Success Mgr

Meet your Army GEMSS experts and learn more about: 

• Army software license entitlements under the GEMSS contract
• WWT's unique additional services through our Enterprise Agreement+ program
• Upcoming Cisco certification training opportunities in 2025 and beyond
• Cisco Advanced Services to the US Army

Monday, June 1, from 11:00 AM - 12:00 PM

Presenters: Derrick Monahan, Distinguished Solutions Arch and Bob Watson , Principal Solutions Architect

The gap between AI experimentation and enterprise production is where most organizations stall. This session demonstrates how Cisco Secure AI Factory with NVIDIA—validated and deployed through WWT—bridges that gap with pre-validated architectures, integrated security controls, and operational simplicity. Discover how to reduce deployment timelines, mitigate risk, and build AI infrastructure that meets the demands of business while delivering the performance your AI developers and data science teams need.

The session concludes with a live AI Data Flywheel demo running on the Cisco Secure AI Factory with NVIDIA infrastructure, built and validated by WWT. See how real‑world workloads leverage secure, pre‑validated AI infrastructure to fine‑tune smaller models for high accuracy, low latency, and cost‑efficient production deployment.

Monday, June 1, from 12:00 PM - 1:00 PM

Presenter: Jillian Anderson-Nix, Technical Solutions

Enterprise AI adoption is accelerating rapidly, but many organizations are discovering that moving from pilots to production is being constrained less by compute availability and more by security, governance, and operational readiness. As AI workloads expand across hybrid environments, enterprises need a structured approach to secure, scale, and operate AI as a business‑critical system—not an isolated experiment.​

In this session, World Wide Technology (WWT) introduces how the ARMOR (AI Readiness Model for Operational Resilience) framework is applied to help organizations secure and operationalize Cisco AI Factories at scale. ARMOR addresses AI readiness across six domains: Governance, Risk & Compliance (GRC), Secure AI Operations, Model Protection, Secure Development Lifecycle (SDLC), Infrastructure Security, and Data Protection—providing a holistic, practical model for enterprise AI security and resilience.​

You'll leave this session with ideas to help you:​

- Assess AI readiness across the six ARMOR domains and identify gaps that prevent scaling AI securely​

- Embed security, governance, and operational controls into AI platforms from day one—without slowing innovation​

- Align AI infrastructure, operations, and risk management to support sustainable, hybrid AI deployments​

This session is designed for enterprise architects, security leaders, infrastructure teams, and platform owners responsible for deploying or operating AI environments. Foundational understanding of enterprise infrastructure and security concepts is recommended, but no prior ARMOR experience is required.​

WWT will draw on real‑world partner implementations and examples to illustrate how ARMOR is used to move AI initiatives from experimentation to production, highlighting how a readiness‑first approach enables secure, resilient, and scalable AI operations aligned to business outcomes.

Monday, June 1, from 1:00 PM - 2:00 PM

Presenter: Drew Mattison , Chief Digital Advisor

For decades, enterprise IT and operational technology lived in separate worlds — different teams, different protocols, different cultures, and a shared distrust that bordered on mythology. IT called OT "the wild west." OT called IT "the people who reboot things and ruin production."

Those days are over. And organizations that haven't realized it yet are already falling behind.

In this session, we'll explore why IT/OT convergence is no longer a network architecture decision — it's a business survival strategy. Drawing on cross-industry experience spanning manufacturing, energy, healthcare, and logistics, we'll unpack what convergence actually looks like in the real world: the cultural friction, the security exposure, the untapped operational intelligence, and the enormous competitive advantage waiting on the other side.

You'll leave with a clear-eyed view of where enterprises stand today, a framework for accelerating convergence without disrupting operations, and an understanding of how Cisco's industrial networking portfolio — combined with WWT's advisory and implementation depth — gives organizations a proven path forward.

Monday, June 1, from 2:00 PM - 3:00 PM

Speakers: Brian Feldt, Mgr, Content Marketing, WWT | Brian Ortbals, SVP, Solutions & Architecture, WWT | Joe Berger, VP, GS&A Digital Experience, WWT | Raj Chopra, SVP, Security Product Management, Cisco Systems

AI-native engineering and workforce AI.

Monday, June 1, from 3:00 PM - 4:00 PM

Presenter: Mike Rice, Technical Solutions Arch III

This proposal combines a recorded demo with an interactive demonstration of Cisco Spaces, showing how IT and facilities teams can use real-time and historical occupancy analytics to optimize space utilization, environmental conditions, and the overall workplace experience. The demo covers occupancy visualizations, SSID-based visitor vs. employee comparisons, environmental metrics (CO₂, humidity, noise, temperature), visitor trends and dwell time, customized reporting, and a recorded blue-dot wayfinding experience — all leveraging WWT's own Spaces dashboard and live data. The core message is that Cisco Spaces enables data-informed decisions on real estate, staffing, and employee experience while leveraging existing Cisco infrastructure.

Tuesday, June 2, from 10:00 AM - 11:00 AM

Speaker: Samantha Stirmlinger, Customer Success Mgr

Meet your Army GEMSS experts and learn more about: 

• Army software license entitlements under the GEMSS contract
• WWT's unique additional services through our Enterprise Agreement+ program
• Repeater (3 of 3) Item 3 Upcoming Cisco certification training opportunities in 2025 and beyond
• Cisco Advanced Services to the US Army

Tuesday, June 2, from 11:00 AM - 12:00 PM

Presenter: Robert Geis, Field CISO

Tuesday, June 2, from 12:00 PM - 1:00 PM

Speakers:  Brian Feldt, Mgr, Content Marketing, WWT | Jeff Fonke, Dir, Practice, WWT | Will Eatherton, SVP, Head of Cisco Networking Engineering, Cisco Systems | Chris Marriott,  VP/GM, Enterprise Platforms and Solutions, NVIDIA

AI infrastructure with focus on networking, silicon, optics, SONiC and Cisco Secure AI Factory with NVIDIA. Deeper dive into networking topic related to Cisco Secure AI Factory with NVIDIA.

Tuesday, June 2, from 1:00 PM - 2:00 PM

Speakers:  Brian Feldt, Mgr, Content Marketing, WWT | Jeff Fonke, Dir, Practice, WWT | Mike Hommer, Partner Field CTO, NetApp | Jason Schroedl, Director, Product Marketing, NVIDIA

Maximizing GPU investment through data intelligence and proven architecture.

Tuesday, June 2, from 2:00 PM - 3:00 PM

Presenters: Derrick Monahan, Distinguished Solutions Arch and Bob Watson , Principal Solutions Architect

The gap between AI experimentation and enterprise production is where most organizations stall. This session demonstrates how Cisco Secure AI Factory with NVIDIA—validated and deployed through WWT—bridges that gap with pre-validated architectures, integrated security controls, and operational simplicity. Discover how to reduce deployment timelines, mitigate risk, and build AI infrastructure that meets the demands of business while delivering the performance your AI developers and data science teams need.

The session concludes with a live AI Data Flywheel demo running on the Cisco Secure AI Factory with NVIDIA infrastructure, built and validated by WWT. See how real‑world workloads leverage secure, pre‑validated AI infrastructure to fine‑tune smaller models for high accuracy, low latency, and cost‑efficient production deployment.

Tuesday, June 2, from 3:00 PM - 4:00 PM

Presenter: Ivan Wintersteiger, Director, End User Computing

The escalating scale, complexity, and speed of modern IT environments—spanning data centers, multi-cloud, containers, and edge—have surpassed the ability of human operators working in traditional reactive models to effectively manage them, especially given the overwhelming volume of telemetry and the shortage of skilled engineers amid rising expectations for uptime and performance. In response, agentic operations emerges as a necessary evolution, enabling autonomous systems to interpret desired states, continuously enforce policies, and execute corrective actions at machine speed with consistency and auditability. This shift redefines competitive advantage, favoring organizations that deploy intelligent, context-aware operational systems that reduce reliance on human intervention and allow engineers to concentrate on higher-value tasks like architecture, resilience, and strategic innovation.

Wednesday, June 3, from 10:00 AM - 11:00 AM

Speaker: Samantha Stirmlinger, Customer Success Mgr

Meet your Army GEMSS experts and learn more about: 

• Army software license entitlements under the GEMSS contract
• WWT's unique additional services through our Enterprise Agreement+ program
• Upcoming Cisco certification training opportunities in 2025 and beyond
• Cisco Advanced Services to the US Army

Wednesday, June 3, from 11:00 AM - 12:00 PM

Presenter: Nathan Nielsen, Principal Solutions Architect

This 45–60 minute demo showcases cloud-managed EVPN fabric deployment using Meraki Dashboard and Catalyst 9000 switches, eliminating the need for CLI expertise or heavy on-prem management clusters. It walks through a four-phase narrative covering Day 0 fabric deployment, Day 1 micro-segmentation with Virtual Networks and SGTs, multi-domain branch rollout via Cisco Workflows across Meraki/Catalyst Center/ISE/SD-WAN, and Day 2 AI-driven assurance operations. The key message is that enterprise-grade fabric and branch security can be deployed and enforced through visual workflows and natural language prompts to the Cisco AI Assistant — without writing a single line of code.

Wednesday, June 3, from 12:00 PM - 1:00 PM

Presenter: Daniel McCown, Sr Creative Technologist

Sixty percent of developers now use artificial intelligence (AI) coding tools — yet fewer than 20% can reliably hand off work to an AI agent. The gap between adoption and real competitive advantage is where most organizations are stuck: pilots that shine in demos but stall against real codebases, real deadlines, and fragmented teams.

You'll leave this session with ideas to help you:

Recognize and avoid the three most common failure modes — Endless Rebuild, Runaway Agent, and Capability Cliff — that derail enterprise AI coding programs

Build a governance model that makes AI adoption fast and secure, without slowing developer velocity

Apply a practical playbook covering model selection, context management, and enablement to turn individual productivity gains into organizational advantage

This session draws on real customer stories — including a major QSR brand modernization (25–50% productivity gains, 60–70% migration time saved) and the Special Olympics 2026 Games (working beta in 3 days vs. a 4–6 week estimate) — plus World Wide Technology's (WWT's) own internal deployment data. Familiarity with software development workflows is recommended.

Wednesday, June 3, from 1:00 PM - 2:00 PM

Presenters: Derrick Monahan, Distinguished Solutions Arch and Bob Watson , Principal Solutions Architect

The gap between AI experimentation and enterprise production is where most organizations stall. This session demonstrates how Cisco Secure AI Factory with NVIDIA—validated and deployed through WWT—bridges that gap with pre-validated architectures, integrated security controls, and operational simplicity. Discover how to reduce deployment timelines, mitigate risk, and build AI infrastructure that meets the demands of business while delivering the performance your AI developers and data science teams need.

The session concludes with a live AI Data Flywheel demo running on the Cisco Secure AI Factory with NVIDIA infrastructure, built and validated by WWT. See how real‑world workloads leverage secure, pre‑validated AI infrastructure to fine‑tune smaller models for high accuracy, low latency, and cost‑efficient production deployment.

Wednesday, June 3, from 2:00 PM - 3:00 PM

Speakers:  Brian Feldt, Mgr, Content Marketing, WWT | Jeff Fonke, Dir, Practice, WWT | Neil Anderson​, Vice President, WWT | Maciej Kranz, General Manager Enterprise, Everpure

Continuation of previous AIPG Podcast with Everpure at NVIDIA GTC

Wednesday, June 3, from 4:00 PM - 5:00 PM

Presenters: Elizabeth D'Amico , Manager, SAM Sales and Enablement & Raksha Matthias, Sr. Director, Software Asset Management

Thursday, June 4, from 9:00 AM - 10:00 AM

Speakers:  Brian Feldt, Mgr, Content Marketing, WWT | Istvan Berko, Global Head of AI Cyber & innovation, WWT | DJ Sampath, VP of AI Products, Cisco Systems |  Sicong Ji, Global Platforms, Solutions, Strategic Partnerships,NVIDIA

Operationalizing Secure AI

Securing AI at Scale: Applying the ARMOR Framework to Cisco AI Factories

Enterprise AI adoption is accelerating rapidly, but many organizations are discovering that moving from pilots to production is being constrained less by compute availability and more by security, governance, and operational readiness. As AI workloads expand across hybrid environments, enterprises need a structured approach to secure, scale, and operate AI as a business‑critical system—not an isolated experiment.

In this session, World Wide Technology (WWT) introduces how the ARMOR (AI Readiness Model for Operational Resilience) framework is applied to help organizations secure and operationalize Cisco AI Factories at scale. ARMOR addresses AI readiness across six domains: Governance, Risk & Compliance (GRC), Secure AI Operations, Model Protection, Secure Development Lifecycle (SDLC), Infrastructure Security, and Data Protection—providing a holistic, practical model for enterprise AI security and resilience.

You'll leave this session with ideas to help you:

• Assess AI readiness across the six ARMOR domains and identify gaps that prevent scaling AI securely
• Embed security, governance, and operational controls into AI platforms from day one—without slowing innovation
• Align AI infrastructure, operations, and risk management to support sustainable, hybrid AI deployments

Speakers: Istvan Berko, Global Head of AI Security & Cyber Innovation, World Wide Technology; Amy Chang, Head of AI Threat Intelligence & Security Research, Cisco

Date: Tuesday, June 2 

Time: 2:30 PM - 3:00 PM PDT

Location: ITL Studio | L2, Oceanside A 

Session ID: ITLGEN-2023