Beyond the Hype: A Knowledge Innovation Model for AI
AI Feels Like Alien Tech Imagine stumbling across a cache of mysterious alien technology. Your excitement peaks as you probe the shiny artifacts: How does it work? What can it do? What new possibilities could it unlock? That’s often how it feels to be an Internet astronaut in the age of AI. Every week seems to bring a new drop of tools and capabilities, accompanied by breathless, click-bait announcements. Moving Beyond the Hype Exploring the latest tech can be fun, but for anyone serious about innovation, the bigger challenge is to sort these tools by how they actually contribute to achieving meaningful goals. As a business analyst and knowledge innovator, I find it helpful to frame them within what I call a Knowledge Innovation Model . A Cycle for Knowledge Innovation Knowledge Innovation is an iterative cycle with four key stages: Incubate – Signal collection and connecting emerging dots. Analyze – Making sense of knowledge and discovering ideas. Create – Synthesizi...