The AI Agent Revolution

Balancing Investment, Implementation & Integration.

AI agents are rapidly becoming the next major investment priority for enterprise technology leaders. But moving from experimentation to enterprise-scale deployment is proving far more complex than simply adopting a new AI platform. 

Join senior technology and business leaders for an exclusive dinner and fireside conversation exploring what it really takes to make AI agents work across the enterprise - securely, strategically and at scale.

AI Agents are Changing the Enterprise

The question is how to make them work for yours. The enterprise AI landscape is shifting rapidly.

After the initial wave of generative AI investment, organizations are now turning their attention toward AI agents - systems that can reason, take action and collaborate across tools, applications and data.

The opportunity is significant. But so are the challenges. 

As organizations move beyond pilots and into production, technology leaders are confronting fundamental questions:

• How do you secure systems that can autonomously take action?
• How do you connect agents to the data and workflows your business already relies on?
• How do you coordinate multiple agents across platforms and environments
• Which capabilities should you build internally - and which are better sourced from trusted partners?
• How do you accelerate deployment without compromising flexibility, governance and enterprise readiness

This dinner brings together senior leaders for an honest, practical discussion about navigating these decisions.

The Dinner Conversation

From AI ambition to enterprise execution.

In an intimate fireside chat, experts from Google Cloud & Elastic will share practical perspectives from the field - exploring what separates promising AI-agents experiments from implementations that deliver lasting enterprise value.

The discussion will explore three critical dimensions:

1. Investment - Where should enterprises place their AI bets? As AI agents emerge as a new strategic priority, organizations need to understand where investment can create genuine competitive advantage - and where the market is moving too quickly to build everything themselves.

2. Implementation - How do you move from experimentation to production? Successful AI-agent strategies require more than models. Security, governance, orchestration, observability and operational resilience all become critical when agents begin interacting with real enterprise systems.

3. Integration - How do agents become part of the enterprise? The value of an agent depends on what it can access and what it can do. Connecting agents to enterprise data, applications and workflows - while maintaining control - is essential to creating systems that deliver measurable business outcomes.

What You'll Take Away

A clearer AI-agent strategy - Understand where agents can create meaningful enterprise value - and where organizations should focus their investment.

Practical implementation insights - Learn how leading organizations are approaching security, governance, orchestration and deployment.

A framework for build vs buy - Explore how to make better decisions about what to develop internally and where external expertise can accelerate progress.

A path to enterprise integration - Discover how agents can connect with existing data, applications and workflows without creating another disconnected technology layer.

Perspectives from the field - Hear directly from Google Cloud & Elastic experts about the opportunities and challenges they're seeing as enterprise AI evolves.

Join the Conversation

The next phase of enterprise AI is already underway.

AI agents promise to fundamentally change how organizations work with technology, data and automation.

The organizations that benefit most won't necessarily be those that invest the most.

They'll be the ones that know where to invest, how to implement and how to integrate.

Join Google Cloud & Elastic for an evening exploring how to get that balance right.