Garbage In, Garbage Out — Data Preparation for AI Series 1: Preparing Your Data for AI (Part 2 of 4) We have data, so we can start using it for AI This is a common assumption when AI initiatives are discussed. They have been collecting data over years, their systems are stable (mostly transactional), reports are reconciled and dashboards are used on a daily basis by the business. So for a human this data appears to be reliable and well understood (with all its caveats as well

Garbage In, Garbage Out — Data Preparation for AI Series 1: Preparing Your Data for AI (Part 1 of 4) AI is evolving quickly. Where organizations first were struggling to understand how AI could help them, more and more projects are started to experiment with AI. And for some organizations they have even moved on from experiments to full scale implementations of AI. Within organizations budgets are allocated to support these AI projects, as they are not debating anymore about