Over the last 23 years running Taxonomy Strategies, I have watched tech vendors promise endless “magic bullets.”
We saw it with early enterprise portals, we saw it with the semantic web hype, we saw it with Big Data, and we are seeing it today with Generative AI.
Every cycle begins with gee-whiz excitement, crashes into the valley of despair when messy enterprise data breaks the tool, and ultimately settles into standard infrastructure.
The organizations that survive and thrive across these cycles are those that remain grounded in timeless principles:
- Pragmatic problem-solving: Technology is a vehicle, not an endgame—it must make money, save money, or keep you compliant.
- Data integrity over guesswork: Statistical models cannot replace a validated fact basis grounded in structured metadata.
- Open standards: Proprietary shortcuts create technical debt; open standards (W3C, ISO) endure.
Ignore the market noise. Define your business logic, structure your metadata highway, and keep your business moving forward.
Enterprise Architects & Digital Leaders: If you want an objective, peer-to-peer reality check on your data architecture from someone who has seen every hype cycle since the 1980s, send me a private message. Let’s talk.
– Joseph Busch
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