Connecting AI ideas: natural language personalisation in analytics

I’ve posted a few AI ideas here on LinkedIn over the past week. But ironically, I missed the most obvious idea. And it was hiding in plain sight. 🤦♂️
Last Friday I talked about how smart tech teams are using AI to let end users configure their apps using natural language.
I explained how low-code tools promised simplicity, then buried us in complexity … but now it’s possible to let users say what they want and let AI do the config heavy lifting. Simple, effective, and overdue.
Then on Tuesday I introduced the new Personalisation feature we’ve launched in the Meldus analytics agent. Just give it a few fields of info up front — your job role, your commercial objectives and targets — and the agent answers your questions through your lens from then on. It’s one of the most exciting features we’ve built so far.
But I hadn’t applied idea 1 to idea 2! 🤯
So we’ve started doing exactly that. We’re making the Meldus agent smart enough to understand personalisation cues from natural conversation.
You might say:
“I manage Harold, Steph and Sam in the sales team” or “We’re targeting 15% revenue growth in California this year”
As you do, Meldus builds a picture of your world: your role, your goals, your KPIs, your team.
We’ll see how it shapes up, but even our early alpha testing is promising. Even if I was slow to spot the idea. 😀
Originally shared on LinkedIn