The age of AI has ushered in an unprecedented era of data democratization. Organizations are racing to empower employees at every level with access to insights, analytics, and even raw datasets, all in the name of innovation and agility. But with great access comes great risk. As we integrate AI models into decision-making pipelines and place advanced analytics tools into the hands of non-technical users, we must ask: where do we draw the line?

This keynote will explore the critical balance between empowering teams with data and protecting the organization from the unintended consequences of overexposure. Topics include:

AI-driven accessibility: How AI lowers barriers to data analysis and why this is both a blessing and a curse.

Security and compliance implications: Understanding the risks of exposing sensitive data to broad audiences, even those internally.

Quality vs. Quantity of Access: Why more data is not always better, and how poorly governed access can lead to bad decisions or even data breaches.

The role of governance in an AI-enabled world: Frameworks for implementing guardrails without stifling innovation.

Attendees will walk away with a deeper understanding of the nuanced challenges posed by data democratization in the era of AI and learn practical strategies for striking a balance and ensuring that access empowers without endangering.