All Things Open summit in Durham signals shift from AI experimentation to execution :: WRAL.com

All Things Open summit in Durham signals shift from AI experimentation to execution :: WRAL.com

All Things Open summit in Durham signals shift from AI experimentation to execution :: WRAL.com

https://www.wral.com/business/technology/all-things-open-durham-ai-infrastructure-takeaways-march-2026/

Publish Date: 2026-03-30 15:38:00

Source Domain: www.wral.com

  • Annual Demo Night: RIoT’s annual Demo Night, in partnership with All Things Open, is described as the best technology conference in the United States, known for its inclusive and educational focus.

  • All Things AI Conference: The second annual All Things AI conference drew over 4,000 attendees and highlighted the integration of AI in various professional fields, emphasizing practical and responsible usage.

  • Human Presence: The conference underscored the value of human interaction in AI-driven environments, as all attendees were humans, underscoring the importance of human presence in AI discussions.

  • Agentic AI: The conference showcased agentic AI capabilities, where AI can orchestrate across various models, introducing flexibility and suggesting a shift towards systems that manage AI tools.

  • AI as Infrastructure: AI is increasingly seen as becoming the infrastructure for work, decision-making, and business operations rather than just a set of tools, necessitating careful consideration regarding adaptability and portability.

  • Vendor Lock-In and Portability: The conference highlighted how interactions with AI platforms build a proprietary understanding, raising concerns about vendor lock-in and the difficulty of moving workflows to different platforms.

  • Moving Beyond Experimentation: Leaders and organizations are urged to move from AI experimentation to execution, placing emphasis on structured adoption, training, and scalable best practices.

  • Future of AI Integration: The conference indicated broader implications for AI integration in workflows, suggesting that organizational decisions on AI’s use will shape the future of work more than the technology itself.