Building Trust in Tech:

AI Governance & the Evolving IT Landscape

AI isn’t just transforming technology—it’s redefining how the public sector operates. But without trust, transparency, and governance, even the most advanced tools can become liabilities.

In this exclusive panel discussion, top experts dissect the realities of AI adoption, from cutting through hype to delivering real-world value for agencies and citizens alike.

Insights from Industry Leaders

Hear from visionaries shaping the future of public sector AI:

Margo Keeler, IBM’s Generative AI Leader for Public Sector:

“Governance isn’t just a checkbox—it’s what separates AI progress from AI risk.”

Francisco ‘Cisco’ Ramirez, Red Hat’s Chief Architect for SLED:

“Open-source collaboration is the key to breaking down silos and scaling innovation.”

Amy Jones, EY’s AI Market Lead for Public Sector:

“We’re not just saving time—we’re redesigning how government serves people.”

What You’ll Learn in This Podcast:

Hear from visionaries shaping the future of public sector AI:

The inflection point for AI: 2024 was the year public sector moves from experimentation to strategic, ROI-driven adoption.
Governance in action: How leading states are implementing guardrails for ethical AI— without stifling innovation.
The 3-hour rule: How AI is already freeing up 10% of employee time for higher-value work (and how to replicate it).
Procurement’s new playbook: Why long-term partnerships—not one-off tech purchases—
are critical for success.
• Lessons from the frontline: Real-world use cases where AI is transforming Medicaid, education, and citizen services.

Defining the Current AI Moment for Public Sector

“We’ve heard words like ‘pivotal,’ ‘accelerate,’ and ‘catalyst’—so how would you define this moment in time for the public sector in its journey with AI?”

Challenges in AI Adoption Across SLED

“Given the mission-driven mindset seen in the Federal space, how are public sector clients—especially in SLED—approaching AI adoption in light of funding, timelines, and technical debt? How are they evaluating where to start and what data to leverage?”

Open Infrastructure, Modernization, and Business Use Cases

“Are conversations with clients more focused on underlying architecture, or are they still centered around AI business use cases? How are those approaches converging or diverging?”

Trust, Vendor Roles, and Evolving Public Sector Relationships

“How are public sector clients viewing vendors and industry partners right now? Has the level of trust or expectations around collaboration shifted in this rapidly evolving AI landscape?

Guardrails, Governance & Inter-State Collaboration

“Who is responsible for designing the underlying AI model and agent architectures across states, and how much of that work is repeatable or shareable given the differences in AI legislation and IT maturity?”

The Go-To-Market Evolution & The Path Forward

“How is the shift in technology consumption and procurement—moving beyond traditional IT contracts and involving broader stakeholders—impacting the way AI solutions are structured and presented in the public sector, and how has Ernst & Young’s go-to-market approach adapted to these changes?”