Ideas Weave Every Narrative with AI.
While everyone’s obsessing over which LLM is smarter, WeChat open-sourced WeKnora — an AI infrastructure that turns scattered corporate data into a living knowledge graph. The real enterprise AI moat isn’t model intelligence; it’s who owns the knowledge. This is why WeChat’s MIT-licensed move is a strategic masterstroke.
Tesla’s dedicated robotaxi strategy is a massive blunder. By designing a new vehicle from scratch, they are discarding the data feedback loop from millions of existing cars, undermining their greatest advantage in the race for autonomy.
Most business analysis is just expensive corporate theater. We create beautiful dashboards that nobody acts on because we confuse data reporting with problem-solving. The true value lies in a simple, unbroken chain: Data → Problem → Cause → Action. Skip one link, and you’re not an analyst—you’re a data janitor. This article breaks down the four links that transform raw numbers into accountable, operational change, and asks the hard question: Are you building a report, or are you solving a problem?
Most user analysis is bottom-up data theater: endless cross-tabs that produce nothing. Real user analysis starts with a painful strategic choice—which users to serve and which to ignore. Without that decision, all your data is just noise.