Building a Data-Driven Culture That Actually Works
Culture eats strategy for breakfast. Here's how to build a truly data-driven organisation without the buzzwords and corporate theater.
Thoughts on AI, data strategy, and the future of work
After scaling data teams from 20 to 1000+ people, I've learned a few things about implementing AI at scale. Here's what actually works in the real world.
Culture eats strategy for breakfast. Here's how to build a truly data-driven organisation without the buzzwords and corporate theater.
Growing from 20 to 1000+ people taught me valuable lessons about maintaining team culture, hiring the right people, and avoiding the corporate bloat trap.
There's no straight line to the C-suite. Here's how I navigated career transitions, imposter syndrome, and the challenges of leading at scale.
As AI regulation tightens globally, enterprise leaders must build robust governance frameworks. Here's what you need to know.
Everyone's building GenAI prototypes. Almost no one is successfully running them at enterprise scale. Here's why.
Data Mesh promised to solve all our data architecture problems. Three years later, here's what actually works and what doesn't.
After hiring 100+ data professionals and making some expensive mistakes, here are the warning signs I now watch for.
Cutting through the noise to identify which AI investments deliver real value and which are just expensive experiments.
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