#AI is amazing. It boosts productivity, saves time, automates repetitive, boring processes. When starting an AI project, many people don’t consider everything that’s needed to make the project successful.
In our experience there are 7 key factors:
1) Good Data: Don’t underestimate time needed here.
2) License and software: AI might be free but integrations and enhancements are needed.
3) Iterative testing: First products won’t be right. Test, iterate and test again.
4) Config and implement: Tuning the process and software to work in your business.
5) Training and consulting: Building skills on your team and getting the right help.
6) Not doing other projects: Time spent on AI needs to evaluated against other projects
7) Security and controls: Protect your data, create guidelines for use, manage decisions.
What gotchas have you seen on AI projects? Comment below.
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