The foundations of trusted AI: If you knew your AI better, would you trust it more?

Trust begins with understanding how your AI works, what it does and doesn't do, the knowledge it draws on, and how it's governed for security and privacy.

In this session, we'll explore the key governance and architectural building blocks of trusted AI, and how they're implemented in OpenText™ Service Management Aviator™, including:

• A framework for trusted AI
• Privacy and security guardrails
• LLM deployment options
• Contextual AI with RAG
• Client insights: Navigating AI strategy for ITSM

Is your service management ready for full AI autonomy?

Conversational AI is not new, and agentic AI has firmly arrived. But successful AI adoption isn't about maximizing autonomy. It's about balancing autonomy with trust while achieving measurable outcomes.

In this session, we'll explore how to advance your AI journey with confidence, from establishing a trusted knowledge foundation to determining the appropriate level of AI autonomy to gaining insights from organizations navigating AI adoption today.

Topics include:

• Building a trusted knowledge foundation
• Balancing autonomy and oversight
• Measuring ROI
• Client insights: Challenges, outcomes, and best practices

AI under scrutiny: Navigating privacy, sovereignty, and regulatory requirements

As AI adoption accelerates, the conversation is shifting from possibility to accountability. Organizations must address growing requirements around compliance, risk management, and AI sovereignty.

In this session, we'll discuss the regulatory and practical considerations shaping AI adoption and explore how organizations can build trusted AI strategies while continuing to deliver business value.

Topics include:

• Understanding the regulatory landscape, including the EU AI Act
• Assessing AI risk through use case examples
• Client insights: Key success factors for trusted AI adoption