Chris Kint
speaker
57 appearances
1 recordings
1 series
first heard Oct 2023
last heard Oct 2023
Chris Kint’s voice in public audio — every appearance, attributed to the second.
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potential of that use case and that technology kind of gets spread across the business.
There was an example of a stat.
I don't know whether I can quite mention the publicly traded software company, but there was a scale software business that I think you said that the CTO had literally a thousand over a thousand, yes.
Over a thousand AI experiments.
on the go across the full organization.
Now it's a large scale organization but a very large software company.
And the way one number but still is a very big number kind of brings to life the your point around look this is all about encouraging and fostering experimentation on the ground so that you really have the users who who can see most benefit engage with it and learning from their experience.
So we're kind of talking about getting a grip of this technology, experimenting with it, pushing out quick wins, getting some reps going.
Question is, is there in parallel, are there some sensible foundational steps that companies should be putting on their homework or their training schedule as well, in addition to that, that will just more broadly make them more ready to absorb and adopt more of these kind of AI use cases going forwards?
business.
And maybe in a build if I may have from the kind of product proposition side onto internal operations, we have some CEOs talk passionately and eloquently about how they think about their organization also in terms of processes, data and systems, and that if they invest in those business foundations, any kind of changes and innovations you can kind of spark and spin up through AI.
If you then have that business infrastructure in place, if you really accelerate, magnify the rollout, right?
So if you have if they will talk about the quality of say the the CRM processes uh and systems that they have in place.
And if they are really up to scratch, then that allows much sharper impact of any of AI driven innovations you might have for that sales team's in that place, because you have the harness and the change infrastructure in place to really then capture and scale the impact.
That we see.
Maybe this deserves a separate question, right?
But just to kind of thinking out loud, kind of express the sentiment, right?
The interesting kind of contrast are those companies that operate more informally, that don't have well governed, more systematic processes, have poor compliance or limited usage of systems.
We hear how they then struggle to then really roll out and scale some of those AI use cases.
And if I
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