Tommy Gardner

Tommy Gardner

Chief Technology Officer HP FEDERAL

Tommy Gardner is HP’s Chief Technology Officer for HP Federal, spanning the US Federal Agencies, Higher Education, K-12 Education, State and Local government customer segments, as well as Federal Systems Integrators. His current responsibilities include technology leadership, strategic technology plans, product and technology strategies, sales force technical support, and customer and partner relationships.

Previously, Tommy has served as the Chief Technology Officer for Jacobs Engineering, Scitor, and ManTech. Earlier in his career he was a senior technical executive at Raytheon. In the U.S. Navy he served as the Deputy for Science and Technology for the Chief of Naval Research. He oversaw the Navy’s Deep Submergence Program as well as its Advanced Technology Program. He also commanded the nuclear submarine, USS San Juan (SSN 751).

Tommy’s educational background covers multiple disciplines and fields of interest including: cybersecurity, data science, blockchain, quantum information science, artificial intelligence, high performance computing and systems integration.

Tommy holds a B.S. in Mechanical Engineering from the U.S. Naval Academy, a Masters in Public Administration from Harvard University, an M.S. in Management of Technology from MIT and a Ph. D. in Energy Economics from George Washington University. He is a Professional Engineer, an ASME Fellow, and serves on the ASME Board of Governors, the ANSI Board of Directors and the U. S. Council on Competitiveness as the Co-chair of the Advanced Computer Roundtable.

Agenda Day 1

1:00 PM OPENING PANEL: Discussing Real-World Learnings from Deploying AI Agents and Key Considerations for Getting Started with Muti-Agent Systems

As the next wave of AI innovation moves beyond individual models to coordinated ecosystems of intelligent agents, multi-agent systems (MAS) are emerging as a strategic frontier. Understanding the opportunities, risks, and architectural implications of MAS is becoming increasingly critical. 


This executive-level panel brings together leaders and experts to discuss learnings from deploying AI agents across industries and unpack what organizations need to consider before leveling up to multi-agent systems. 


  • Assessing learnings from deploying individual AI agents 
  • Highlighting core principles and use cases of multi-agent systems 
  • Choosing the right development frameworks and simulation environments 
  • Understanding governance, control, and risk management in distributed AI systems 
  • Determining organizational readiness: skills, infrastructure, and data strategy considerations 
  • Communication, coordination, and conflict resolution strategies among agents 
  • Key design trade-offs: centralized vs. decentralized control 
  • Practical lessons from real-world implementations