Is your company struggling with AI adoption? A likely cause is that the trust and AI competencies of your non-engineering workforce is low. A great way to solve this problem is to embed non-technical employees into the engineering process, using a company sponsored initiative that capitalizes on the holistic knowledge of the entire workforce. This process requires the leadership of both the CIO and CHRO, with each respective organization working together to create a Domain-Ad

Linear Algebra is a critical skill for AI leadership. It should be mandatory learning as part of high school and undergraduate curriculums. CHROs should emphasize this skill in their emerging leadership programs. Having basic skills in Linear Algebra allows professionals to proactively manage machines. You do not need to perform the calculations yourself. However, understanding the process will make your conversations with the engineering team more effective.

Understanding how to construct effective times series forecasts is an essential skill for AI Leaders. Engineers should understand which charts are important and what questions to ask. This will make the LLM prompt questions and conversations with the engineering team more impactful.

In the age of AI, leaders are required to do three things: lead machines, lead people that build machines, and lead organizations that adopt AI. To effectively lead in this environment, executives must understand AI. This means going beyond prompt engineering and AI agent courses to learn how things actually work.