Who’s Afraid of Artificial General Intelligence and Its Impact on Data Management?

We are presenting the different round tables of the 2025 edition of the Data Management Summit

Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI, which is limited to specific tasks. AGI is considered one of the definitions of strong AI.

The rise of Artificial General Intelligence (AGI) brings with it both excitement and concern across industries, with data management at the heart of this transformative shift. At the Data Management Summit, this roundtable will tackle the implications of AGI on data strategies, security, and ethics. As AGI moves toward human-like cognition, it could reshape everything from data governance and processing efficiency to decision-making and predictive analytics.

Experts in data management, AI, and ethics will gather to discuss the anticipated risks, opportunities, and the far-reaching impact AGI could have on the ways organizations handle data. Key questions include:

• How will AGI challenge current data management systems and processes?
• What potential risks does AGI introduce for data privacy, security, and governance?
• How can data professionals prepare for and adapt to an AGI-driven future?

Join us for an engaging exploration of AGI’s potential to revolutionize data management and the responsibilities and uncertainties that lie ahead. This roundtable will provide insights into navigating AGI's impact on data with confidence and foresight.

1. Understanding Artificial General Intelligence (AGI) and Its Potential in Data Management

• To vendors: How do you define AGI within the context of data management, and how does it differ from the current AI solutions on the market?
• To consultants: What level of impact do you anticipate AGI will have on data management processes and strategies?
• To customers: Do you believe your organization is ready to leverage AGI technology in data management, and what are your main expectations or hesitations?

2. Perceptions and Concerns Around AGI

• To the entire panel: What are the biggest fears or concerns you have regarding AGI, specifically in how it might influence data management?
• To customers: How do your employees view AGI—do they see it as a threat, an opportunity, or a mix of both, and why?
• To consultants: From your perspective, what are some misconceptions organizations commonly have about AGI and its potential risks?

3. Trust and Reliability in AGI Systems

• To vendors: What measures are being put in place to ensure that AGI systems are trustworthy and reliable in data management settings?
• To customers: What would make you trust AGI solutions in managing your critical data, and what kind of proof or assurances would you require?
• To consultants: How do you see organizations establishing trust in AGI over time, especially considering its autonomous capabilities?

4. Ethical and Governance Challenges with AGI

• To the entire panel: What are the biggest ethical considerations for AGI in data management, and how should organizations prepare for them?
• To consultants: How should organizations approach data governance when AGI systems are involved? What unique challenges do you foresee?
• To vendors: How is your company addressing ethical concerns with AGI, and what frameworks or safeguards are in place?

5. Data Privacy and Security Risks

• To vendors: What specific data privacy and security risks could arise with AGI in data management, and how are these being addressed in your solution?
• To customers: How concerned are you about data security if AGI were to handle your organization’s sensitive data, and what measures would you expect from providers?
• To consultants: What steps do you recommend for organizations to secure data against potential misuse or breaches from AGI?

6. Impact on Jobs and Roles in Data Management

• To the entire panel: How do you envision AGI impacting jobs and responsibilities within data management? Will it create more roles or make certain roles obsolete?
• To vendors: How are you preparing your tools to support evolving data management roles as AGI capabilities expand?
• To customers: What impact do you think AGI will have on your current data management workforce, and how do you plan to address any shifts in skill requirements?

7. Scalability and Performance in AGI-Powered Data Management

• To vendors: How will AGI technology scale to manage increasingly large and complex data ecosystems, and what performance benchmarks should organizations expect?
• To customers: What are your expectations around AGI's scalability in data management, and do you foresee any challenges in integrating it with existing systems?
• To consultants: What advice would you give to organizations wanting to scale AGI solutions within their data infrastructure effectively?

8. Regulatory Compliance and AGI’s Role

• To vendors: How are you adapting your AGI solutions to meet evolving regulatory requirements in data management?
• To customers: Are you confident in AGI's ability to help with compliance, or do you see it as a potential risk in meeting regulatory standards?
• To consultants: What regulatory challenges do you foresee with AGI adoption, and how should organizations approach compliance with these new capabilities?

9. Measuring the ROI of AGI in Data Management

• To vendors: How are you helping clients measure the ROI of implementing AGI in data management, and what metrics should they focus on?
• To customers: What specific improvements in efficiency, quality, or cost savings would you need to see to consider AGI a successful investment?
• To consultants: What ROI benchmarks or metrics should organizations set for AGI-driven data management initiatives?

10. Future-Proofing for AGI Advancements

• To the entire panel: How should organizations approach future-proofing their data management strategies in anticipation of AGI advancements?
• To vendors: What upcoming AGI features or capabilities are you most excited about, and how can companies prepare for them now?
• To consultants: What factors should organizations prioritize to keep their data management frameworks adaptable for potential AGI developments?

11. Best Practices and Lessons Learned

• To customers: What are your key takeaways from integrating advanced AI solutions, and how might these insights apply to AGI?
• To vendors: What best practices do you suggest for organizations just starting to explore AGI for data management?
• To consultants: What critical advice would you give organizations preparing to adopt AGI, based on current trends and lessons learned in data management?