The New AI Factory Model: How to Scale Quality Training Data

A Production Problem (Solved)

When Henry Ford attempted to produce the Model T at a rapid pace and with high quality, he ran into a problem. It was difficult to organize teams of specialized workers to assemble automobiles, and with so many workers needed to scale the process, it was highly inefficient. To make matters worse, late delivery of parts caused pile-ups of workers vying for space to work and delays in production.

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3 Steps to Get Clean, Structured Data You Trust

It’s their least favorite part of the job, yet it consumes most of their time. Data wrangling – or gathering and preparing dirty data so it can be used in critical business applications – is the biggest problem in data science today, according to a Kaggle survey. So how can you get clean, structured data you can trust?

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