AI did not end the data literacy crisis. It changed it. As machines move from providing information to interpreting it and recommending what to do, the scarce skill is becoming judgment: knowing what to trust, what to question, and what decisions are still ours to make.
Evidence does not make decisions. People interpret it, weigh it, challenge it, and make judgments. A courtroom reveals what leaders can learn about evidence, expertise, confidence, and data-informed decision-making.
Feeling sure doesn't mean you're right. Learn five simple ways to question what feels true, spot what might be influencing you, and make better decisions about what to believe.
Data initiatives often start with ambition, but stall in execution.
Despite significant investments in tools, governance, and talent, many organizations still struggle to deliver consistent, trusted insights that drive real business outcomes. Why? Because most data strategies fail to connect three critical layers: principles, process, and practice.
In this strategic webinar, we’ll introduce a modern, actionable framework that aligns data values with day-to-day workflows and organizational capabilities. Whether you're leading a data transformation, modernizing analytics operations, or simply trying to move from data-rich to insight-driven, this session will give you a clear model to guide your efforts.
1. Guiding Principles (What good data must be)
2. Dual Lifecycles (How data flows and becomes actionable)
3. Organizational Capabilities (What makes it all possible)
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