Generative AI for Business Leaders

As an executive or manager at any level, learn how to confidently lead your org through the GenAI era by gaining strategic awareness and getting equipped with practical frameworks. First, explore what generative AI is, how algorithms work, and how data drives the behavior of both. Next, review the basics of AI agents and learn which tasks are best for agentic workers. Then, discover how business strategy needs to change to be able to deliver at scale, improve ROI, and gain a long-term competitive advantage. Also, find out about implementing a new cybersecurity playbook for the agentic era to achieve faster response systems, workforce awareness, and up-to-date security frameworks. Lastly, dive into what AI governance is and how to put a policy in place that considers present and future scenarios and the potential of AGI.

Learning objectives
Articulate the current state of generative AI and explain to boards, teams, and stakeholders when things change, why it matters, and what it means for their organization's competitive position.
Identify and prioritize high-value GenAI opportunities across key business functions — distinguishing between initiatives that drive cost reduction, revenue growth, and competitive differentiation — and make a clear, evidence-based case for investment.
Develop a sound AI strategy by assessing their organization's readiness across data, talent, culture, and governance, and applying a structured framework to move from pilot projects to enterprise-scale implementation.
Lead people and culture through AI transformation by addressing resistance and fear, communicating AI initiatives with clarity and empathy, and building the organizational conditions needed for sustained adoption.
Apply responsible AI governance by identifying the key risks of generative AI deployment including data privacy, bias, regulatory exposure, and ethical considerations and putting the frameworks in place to manage those risks confidently and proactively.