Data Governance for Managers - In the Age of AI

See data as a strategic business asset and identify where it creates (or destroys) value in your function. More so in the Age of AI

Identify the most important data assets within your function and assess their impact on business performance

Clarify ownership and accountability for the data and AI your team relies on.

Understand your role as a manager in governing data and AI, even if you do not work in a technical role.

Establish a simple operating rhythm to improve stewardship and accountability within your team.

Make better decisions about AI initiatives, vendors, and use cases using practical governance tools.

Use practical tools to make better decisions about data, analytics, and AI initiatives.

Ask the right questions before approving new AI tools, vendor proposals, or internal use cases.

Design proportionate guardrails that enable innovation while managing risk and regulatory exposure

Understand the essentials of the EU AI Act, GDPR, and other regulatory expectations affecting managers.

Detect and address common issues such as poor data quality, unclear ownership, and shadow AI.

Leave with a 90-day plan to unlock more value from Data & AI safely and confidently.