Generative AI has added a whole new collection of terms to the technology landscape, and like with every new and evolving technology there is a fair bit of confusion with what these terms mean, so here goes my ever evolving list of all the terms that would help you better understand what these really mean.
As technology leaders, one of our most important jobs is fostering a culture that encourages creativity and innovation. We need to build environments where people feel empowered to think outside the box and come up with breakthrough ideas. Here are 5 key ways I’ve found to make that happen:
The rapid advancements in generative AI have led many to focus on its potential for full automation - having machines completely take over certain tasks from humans. But in my view, the bigger opportunity lies in using AI as an acceleration tool to empower people to achieve more. Rather than full automation, the goal should be human-AI collaboration.
As a veteran software architect with decades of experience designing large-scale systems, I’ve found that documenting architectural decisions is one of the most critical activities in a project. Complex systems that evolve over many years cannot be properly maintained without understanding the rationale behind key design choices. This is where Architecture Decision Records, or ADRs, come into play.
