Most companies don’t fail at AI because of models. They fail because of data.
More specifically:
Continue readingThey try to run AI workloads on top of a data warehouse that was never designed for it.
Most companies don’t fail at AI because of models. They fail because of data.
More specifically:
Continue readingThey try to run AI workloads on top of a data warehouse that was never designed for it.
If you’re working as a data analyst today, Python is no longer just a “nice to have.” It’s part of the daily toolkit.
But here’s the reality:
Continue readingMost analysts don’t need dozens of libraries — they need a small, reliable stack, used well.