Name: Agents of Governance
Start: 2025-12-16T17:30:00-08:00
End: 2025-12-16T20:00:00-08:00
Location: ZEFR

Hi LAML Member,

I'm excited to host another speaker in our LAML meetup series. For this talk we're welcoming Brian Ray. Please come join us at Zefr to learn about AI and governance.

Here is the schedule:

5:30 Meetup attendees arrive
5:30 - 6:30 Pizza and mingling
6:30 - 7:15 Presentation
7:15 - 7:30 Q&A
8 PM Doors close

**Abstract**

Agentic AI introduces systems that can plan, reason, take multi step actions, and operate with a level of autonomy that goes beyond traditional models. These agents can coordinate with other systems, adapt to changing conditions, and self improve through ongoing feedback, creating both powerful opportunities and new governance challenges.

This talk explores why legacy oversight models are not sufficient for agent based intelligence, what risks emerge when AI can initiate and chain actions on its own, and how leaders should prepare their organizations for a future where autonomous agents will play a central role in operations. Attendees will gain a clear understanding of the policies, controls, and architectural principles required to maintain safety, trust, and accountability as Agentic AI scales across industries. The session delivers practical, executive oriented guidance for navigating regulatory expectations and building governance that evolves alongside these increasingly capable systems.

**Speaker Bio**

Brian Ray leads the Data and AI business line for Atos in North America, a global digital services company recognized for its strength in cloud, cybersecurity, data platforms, and enterprise scale AI delivery. Atos partners with public and private sector organizations across healthcare, financial services, government, manufacturing, and energy, helping them deploy advanced AI securely and responsibly. Brian oversees the full portfolio of AI consulting, engineering, and modernization capabilities that fuel this mission.

With three decades of experience in data intensive systems, machine learning, and applied AI operations, Brian has designed and deployed intelligent platforms for global enterprises and research institutions. His work centers on bridging emerging technology with real world governance and scaling AI from prototype to production with clear accountability.

Brian is also a lecturer at Caltech and a long standing member of the Google Developer Advisory Board. He advises executives on the implications of Agentic AI, offering a grounded perspective on the operational, ethical, and regulatory decisions leaders must make as autonomous systems become foundational to enterprise strategy.

Jon Morra

LA Machine Learning

Technology

Machine Learning

Data Science

Big Data

Artificial Intelligence

Natural Language Processing

Data Mining

Computer Science

Predictive Analytics

Agents of Governance

Data Governance

ZEFR

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