AI For CTOs, CIOs, & Technology Leaders

By its very nature, AI will require the active participation of an organization's technical leadership, from guidance to implementation, the CTO's office must often carry both the pioneer's torch and the burden of securing and safeguarding the organization's data and systems. Moreover, the AI transformation is often a whole-of-organization endeavor, requiring cross-functional collaboration and external vendors, coupled with a flexibility and nimbleness to respond as the tools and the market shift month to month. This course is designed for the CTOs, CIOs, and engineering leaders who own those decisions. We will map the surfaces where AI enters an organization: chat applications, coding agents, desktop and terminal tools, connectors and plugins, and API integrations. We will work through key considerations around deployment, governance and policy setting, infrastructure, and stakeholder collaboration.

Participants will develop the judgment technology leaders need to:

• Map the surfaces where AI enters the organization: chat applications, coding agents, desktop and terminal tools, connectors and plugins, and API systems
• Separate hype from reality when evaluating vendor claims, and set expectations leadership can count on
• Weigh build vs. buy vs. partner, including lock-in, cost structure, and the risk of building what the next model release makes obsolete
• Set AI coding norms for the engineering organization, and keep code maintainable when it is written at higher velocity
• Survey the AI threat surface, from prompt injection to machine-scale social engineering, and secure data, connectors, and agent deployments
• Collaborate with stakeholders across the organization, meeting each function's needs without becoming the bottleneck