AI Expo 2026: Governance and Data Preparation Mandatory for 'Agent' Systems
During the opening day of AI Expo 2026, while the transformation of AI into a digital coworker was discussed, experts emphasized that this transition can only be possible with robust data governance and preparation processes. Industry representatives highlighted the critical role of infrastructure in shifting from passive automation to active 'agent' systems.
AI Expo 2026 Examines the Infrastructure of the Future Workplace
The global meeting point for artificial intelligence technologies, AI Expo 2026, is hosting significant discussions that will shape the industry's future vision. The prominent main theme on the event's first day was AI's potential to transform from merely a tool into a fully-fledged "digital coworker" or "agent" system. However, experts note that the biggest obstacle to this transformation is not technical capacity, but rather deficiencies in data governance and preparation processes.
Challenges of Transitioning from Passive Automation to Active Agent Systems
Industry representatives speaking at technical sessions stated that most current AI applications still remain at the level of passive automation, whereas real transformation will come with the transition to "agent" models where systems can make proactive decisions and act autonomously. It was emphasized that this transition requires a robust data infrastructure before advanced algorithms. Data quality, accessibility, security, and ethical use emerged as factors directly affecting the reliability of agent systems.
Data Governance: The Cornerstone of Trust
During panels, it was frequently reiterated that trust in AI agents depends on how their data is managed. Participants noted that establishing transparency, accountability, and audit mechanisms in data collection, storage, processing, and usage processes has now become a necessity rather than a choice. As also mentioned in the SUSTAINABILITY AND INNOVATION ACTIVITY REPORT, it was stated that GRI-standard compliant reporting and robust data collection systems form the foundation of sustainable and reliable AI development.
Current Developments in the Industry and Future Projection
The Expo also shared assessments regarding the current state of the industry. From advanced video generation models like OpenAI's Sora to platforms like Runway and Pika, the rapid evolution of generative AI tools demonstrates the technological potential. However, speakers unanimously agreed that without addressing fundamental infrastructure and governance issues, these advancements cannot achieve their full transformative impact in business environments.
The consensus among AI Expo 2026 participants is clear: The journey toward intelligent agent systems requires organizations to prioritize data maturity. This involves not only technological investment but also developing comprehensive governance frameworks, ethical guidelines, and organizational readiness. As AI systems become more autonomous, their integration into business workflows demands unprecedented levels of data integrity and systematic preparation.
