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
What if every marae hosted a piece of the cloud?
A thought experiment in Māori data sovereignty: locally owned micro data centres that return skills, resilience, and a dividend to marae.
An Azure photogrammetry pipeline for less than two coffees
Phase 2 of my property digital twin turns 743 drone photos into maps and models on an Azure VM that exists as billable compute for about four hours a month.
AI checks every mission file before my drone flies
My consumer Mavic 3 has no SDK, so repeatable survey flights depend on mission files. An AI inspection caught unsafe defaults and a 22.88-metre altitude error before...
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.