Thoughts
Hello World! Again.
Hello World!
Making a computer show “Hello World” was one of the first things I learned when I started studying computer engineering decades ago. Since then, I’ve continued learning across technology and business. That curiosity has stayed with me as my work evolved from engineering to leading teams and driving digital innovation. Along the way, I developed an approach to continuous learning that served me well.
AI is now challenging me to evolve that approach.
Until a couple of months ago, I led process and digital innovation in retail and supply chain at PriceSmart. That meant aligning business priorities, developing teams, and working with partners to turn new technology into results. Recently, I’ve been complementing that executive perspective with more hands-on AI experimentation.
I’ve been reading, taking courses, and building things myself (my son loves the apps I’ve built him!). That work keeps bringing me back to three questions for leaders across technology and business: What must we understand ourselves to set direction and make sound decisions about AI? Where should we rely on specialists? And how can those of us with technical backgrounds help colleagues from other disciplines build the understanding and confidence to lead with AI?
My North Star so far: start with the business problem I want to solve, then work backward. That helps me choose where to go deep, what to test in practice, and which sources deserve my attention. There will always be more to learn. As the possibilities expand, a clear business priority gives my learning direction and helps me focus.
Whether you started with “Hello World,” as I did, or took a different path, how are you choosing where to focus your AI learning?
Originally published on LinkedIn.