Agentic AI Exchange
From Pilot to Production: Turning Agentic AI Vision into Governed, Scalable, Measurable Reality
San Diego, California | April 29 - May 1, 2026
Agenda Day 2
Governance, Risk Mitigation & Change Management
8:30 am - 9:30 am
EST
CHAIR’S DAY TWO WELCOME & RECAP OF DAY 1
7:30 am - 8:30 am
EST
BREAKFAST
8:45 am - 9:05 am
EST
KEYNOTE: Building the Agentic Framework for Business Impact: A Blueprint for End-to-End Governance to Scale AI Agents
Ash Dhupar -
Chief Data & Analytics Officer,
Analog Devices
• Understanding the architectural foundation needed to design and deploy an agentic AI framework
• Highlighting key components of a modern governance stack, including policy, lineage, observability, risk controls, and trust mechanisms that ensure safe and scalable agentic behavior
• Building a strategic approach to scale across the ecosystem through governed agentic workflows
9:05 am - 9:25 am
EST
KEYNOTE: Architecting the AI-Native Enterprise: Data as the Engine of Autonomous Intelligence
Arun Nandi -
Chief Data & AI Officer,
Carrier
• How to evolve traditional data architectures into dynamic, AI-native environments optimized for agentic systems
• Strategies for unifying structured, unstructured, and streaming data into a governance-forward, model-ready fabric
• Patterns for real-time data activation to support autonomous agents, copilots, and workflow orchestration
• How to modernize data quality, lineage, and trust frameworks to keep pace with generative and adaptive AI
• Practical guidance on sequencing transformation efforts, avoiding common pitfalls, and demonstrating measurable value to the C-suite and board
9:25 am - 9:45 am
EST
PRESENTATION: Breaking Data Silos and Sharing Intelligence with AI
Pranamika Balaji -
VP Data Analytics & AI,
Citi
• How Agentic AI is Redefining Data-Driven Decision Making
• How organizations can leverage AI and agentic systems to move beyond fragmented data silos toward shared, real-time intelligence across teams and functions.
• Strategies for enabling AI-ready data foundations that allow intelligent agents to reason, learn, and act responsibly across complex enterprise environments.
• Practical insights into aligning data architecture, governance, and operating models so AI agents deliver trusted, explainable, and scalable outcomes.
• Real-world perspectives on how AI-driven intelligence unlocks growth, improves responsiveness, and elevates decision-making at enterprise scale
9:45 am - 10:05 am
EST
KEYNOTE: From Reactive Defense to Proactive Security: AI That Acts Before Incidents Happen
Gnanaprakasam Pandian -
CEO,
Ordr
AI has flooded security teams with insights. But insights alone don’t stop disruption, they require action. ORDR’s CEO joins Steve Madden to explore how forward-thinking organizations are harnessing AI not just to detect threats, but to operationalize action to prevent them. The future of security isn’t faster alerts. It’s intelligence that becomes enforcement.
- Moving beyond AI insights to AI-informed action — Close the gap between detection and enforcement.
- Operationalizing Zero Trust at scale — Use AI to generate precise, behavior-based policies that reduce risk without disrupting the business.
- Keeping humans in control while accelerating response — Combine AI speed with governed, code-enforced execution
10:05 am - 10:35 am
EST
PANEL DISCUSSION: Governing Agents Effectively to Ensure Consistent Quality – Mission Impossible?
Patrick Chew -
VP, AI & Data Science,
AIT Worldwide Logistics
Leo Rajapakse - Global Head of Platform Infrastructure, Digital & Advanced Technologies, Bimbo Bakeries Usa
Sunzay Passari - Global Head & Director - Architecture of Tomorrow (AI & Innovation), UPS
• Frameworks for governing autonomous agents across distributed enterprise environments
• Ensuring consistency and reliability: drift detection, policy enforcement, auditability, and real-time oversight
• Balancing autonomy and control to enable innovation while protecting brand, safety, and compliance
• Techniques for evaluating agent quality across tasks, domains, and multimodal workflows
• Lessons learned from early enterprise deployments and what leaders would do differently next time
Leo Rajapakse
Global Head of Platform Infrastructure, Digital & Advanced TechnologiesBimbo Bakeries Usa
12:10 pm - 1:10 pm
EST
NETWORKING LUNCH
1:10 pm - 2:10 pm
EST
ROUNDTABLES
Topics may include:
1. Regulated Industries Roundtable: Navigating Internal Red Tape for AI Success
2. Rethinking Global Talent Strategy
3. Do’s and Don'ts for Using Open Source
4. Navigating the Clash Between Agentic Vision vs Reality
.
2:15 pm - 2:45 pm
EST
BUSINESS MEETINGS | concurrent INNOVATION WORKSHOP: Small Language Models - the Path to Preventing the Million-Dollar Day? Understanding Limitations, Trade-Offs, and Deployment Decisions
Jodi Blomberg -
VP AI & ML,
Cox Automotive
• When does size matter—and when does it not?
• Assessing contextual understanding and domain fit: How LLMs generalize vs. how SLMs specialize
• Understanding latency, cost, and infrastructure requirements
• Evaluating governance and risk trade-offs: Controllability, explainability, and hallucination risks
• Highlighting data privacy, fine-tuning, and lifecycle considerations
2:50 pm - 3:20 pm
EST
BUSINESS MEETINGS | concurrent PRESENTATION: From Amnesia to Identity: The "Context Layer" Imperative
Ali Alkhafaji Ph.D. -
Chief AI & Technology Officer,
Omnicom
Moving beyond "Storage" to "Identity": Current solutions largely solve for "Memory" (the passive storage of past interaction logs), but the next generation of agents requires "Context" - a dynamic, structured understanding of the user's identity, environment, and intent (the "5 Ws+H") to drive active decision-making rather than simple retrieval
Exploring the "Three Ps" Standard: As agent context evolves and scales, those solutions must be evaluated against three non-negotiable pillars: Privacy (shifting from platform security to user sovereignty), Portability (breaking the "walled gardens" that lock user history into single apps) and Personalization (achieving deep behavioral alignment rather than just factual recall).
Understanding the end of the “Cold Start”: The industry is paralyzed by fragmentation, where every new agent forces the user to start from zero; the future belongs to architectures that decouple user context from the model, enabling a portable "warm start" where identity travels with the user across the entire digital ecosystem.
3:20 pm - 3:50 pm
EST
NETWORKING BREAK
3:50 pm - 4:10 pm
EST
KEYNOTE: Building a Workforce Ready for Autonomous AI Partners - Rethinking Culture, Teams and Collaboration
Richard Wiedenbeck -
Chief AI Officer,
Ameritas
• Why workforce and culture strategy must evolve in parallel with technology strategy as agentic AI takes hold
• How leaders can prepare teams for human–agent collaboration, augmentation, and shared accountability
• New workforce models and performance frameworks that reflect AI agents as active contributors
• Approaches to maintaining psychological safety, trust, and clarity as AI becomes a visible “colleague”
• How CIOs, CTOs, and AI leaders can partner with HR to drive successful, responsible agentic adoption across the enterprise
4:10 pm - 4:40 pm
EST
PANEL DISCUSSION: Best Practices for Change Management in the Age of Agentic AI
Katya Hall -
CIO – Health Systems,
McKesson
Ali Alkhafaji Ph.D. - Chief AI & Technology Officer, Omnicom
Prakash Muthukrishnan - Chief Technology Officer, Purchasing Power
• Strategies for preparing teams and leaders for agent-driven workflows and decision augmentation
• How to communicate the value, purpose, and limitations of agentic AI to minimize fear and resistance
• Designing training, upskilling, and human-in-the-loop practices that empower employees
• Organizational structures and governance models that support sustainable AI adoption
• Lessons from early adopters on pacing change, managing risk, and maintaining alignment during transformation
