Enterprises are redefining data literacy as a strategic necessity in the age of AI, privacy regulations, and security risks. Beyond technical skills, organizations must bridge business and data teams to ensure responsible, secure, and effective data use. Experts shared insights on embedding compliance into daily practices, addressing security challenges, building trust in AI-driven insights, and fostering a culture of data fluency that drives measurable business value.

In today’s data-driven environment, organizations are under pressure to balance AI innovation, stringent privacy requirements, and growing security risks. This reality has transformed data literacy from a functional skill into a strategic business necessity.

True enterprise data literacy goes beyond understanding data—it requires bridging the gap between technical teams and business stakeholders, ensuring data is applied responsibly, securely, and effectively to drive growth and innovation.

Key themes

• Integrating privacy, risk, and compliance into daily data practices
• Tackling emerging security challenges across the enterprise
• Building confidence in AI-driven insights and enabling teams to explain them clearly
• Creating a culture of data fluency that fuels innovation while managing risk
• Establishing practical measures to assess and improve enterprise-wide data literacy

Expert perspectives

Ioana Mazare, SVP & GM at The Data Lodge, and Stephen Gatchell, Sr. Director, Data Advisory, share real-world insights and frameworks that help enterprises move beyond basic data training. The discussion emphasizes how strong data literacy can mitigate risk, empower decision-making, and unlock measurable business value.