Simplifying AI Implementation Using the Theory of Constraints

AI technology is increasingly integrated into business processes, yet organizations struggle to determine where it delivers the most value. The Theory of Constraints (TOC) offers a structured approach to identify key limitations in workflows, ensuring targeted AI adoption that enhances efficiency and productivity by addressing bottlenecks for optimal performance improvement.

AI to Enhance Thought, Not to Do It for You

Conversations about the future of online content have grown louder and more anxious in light of Google’s AI Mode and the increasing dominance of AI-generated overviews in search results. It’s not just a question of traffic or rankings anymore. It’s a deeper concern: will individual voices still matter in a web increasingly summarized, filtered, andContinueContinue reading “AI to Enhance Thought, Not to Do It for You”

From Content Factories to Content Value: A Needed Shift in Strategy

With the recent rollout of Google’s AI Mode, users can now intentionally seek AI-generated answers through a more conversational interface. This feature builds on the earlier introduction of AI Overviews, which have become increasingly prominent, but are not yet universal in search results. Together, these changes mark a substantial evolution in how people interact withContinueContinue reading “From Content Factories to Content Value: A Needed Shift in Strategy”