What does it take to move from AI experimentation to real enterprise impact? In this fireside chat from the Content + AI Virtual Summit, Box CEO Aaron Levie sits down with Rahul Pathak, VP of Data & AI GTM at AWS, to discuss the next phase of enterprise AI. They cover the shift from chat-based AI to agentic AI, why enterprise data is the key differentiator for production deployments, and how organizations can modernize while still moving fast. The conversation also explores the Box and AWS partnership, OpenAI models on Amazon Bedrock, emerging standards like MCP, and how self-improving AI systems could reshape business workflows. If you’re thinking about AI agents, enterprise content, cloud infrastructure, and how to unlock value from unstructured data, this session is packed with practical insights. In this video: The rise of agentic AI in the enterprise Why enterprise data matters more than model access alone OpenAI models on Amazon Bedrock How Box and AWS help organizations unlock data for AI Best practices for modernizing data platforms while innovating The future of self-improving AI systems and feedback loops Speakers: Aaron Levie, CEO, Box Rahul Pathak, VP of Data & AI GTM, AWS

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