Mark Smith
· 1 min read
AI Readiness the Key to Effective Data Organization
Imagine if you went into a supermarket and the produce was a mess - none of the rows had signs, and every week it was in a different place.

This post was originally published in 2024. Some details may have changed since then.

For data to be effective it has to be organized.
Imagine if you went into a supermarket and the produce was a mess - none of the rows had signs, and every week it was in a different place.
→ How much time would you waste?
→ How would you make decisions?
→ How frustrated would you be?
This is the state of a lot of organizations.
They want to use AI but they’re not ready.
They want:
→ Better insights & decisions
→ Better personalization
→ Better productivity
But it’s not possible.
It all starts with getting organized.
When it is, you’ll become leagues ahead of your competitors.
What do you think?
Want to digitally transform your organization?
Get in touch to find out how I can help.

Mark Smith
Principal AI Strategist · Microsoft MVP
Helping people build practical AI skill in the Intelligence Age.
More from nz365guy

We made four websites agent-ready with WebMCP
AI agents already visit our websites and interpret pages built for human eyes. This weekend, we gave all four sites a structured interface they can use safely.

Why My AI DevOps Team Runs on a Ralph Loop
My AI DevOps board looked frozen for twelve hours. The fix was not smarter orchestration, but a Ralph loop with real hard stops.

Building Sandy: a read-aloud tool for how I work
Sandy is a Windows 11 read-aloud app I built for dyslexia support, with Azure AI Speech, sentence-level playback, and click-to-read.
Discussion
Comments
Loading the discussion for this post.
Leave a comment
Your email stays private. If it matches a Gravatar account, your public avatar can appear after the comment is approved.