Alexia Kambon

speaker

252 appearances 1 recordings 1 series first heard Jun 2025 last heard Jun 2025

Alexia Kambon’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

No recordings in the last 12 months.Older appearances are listed below; set an alert to hear about the next one.

Appearances

newest first · ▶ plays the moment

The Neuron: AI Explained · Microsoft Shares Its Playbook for Surviving the AI Jobquake · 18 Jun 2025 podcast

And I think if you extrapolate that out writ large, that is also the case for organizational culture.

And how are you as an organization setting the expectation that we are an AI first company and that we need to weave AI into all of our processes

and that starts really with thinking about what are the processes that now are redundant because we can use ai to make them more effective um what are the skills that you have that can be augmented even more by ai in particular when we think about things you couldn't do before but you now can do because you have access to ai right let's let's design around that like that's super exciting like

You know, I could, I could never write a blog before.

Um, but now all of a sudden I can connect an agent to all of the thousands of blogs that we've tens of thousands, probably that Microsoft has released over the years.

Right.

And, and I can now suddenly write a blog, um, because I have access to that agent and I have something to say, and I'm a researcher with a point of view.

So, yeah, I think it's very much a cultural norm that needs to be established.

Yeah.

Yeah, I think that's right.

It's essentially like AI can help you be better at the things you're not good at, as well as help you be better at the things you are good at.

And your key question now as an employee is, what's going to make my value higher?

Is it to improve my weaknesses or to improve my strengths?

And maybe it's a little mix of both, right?

But I'll tell you a quick personal story.

While we were doing our annual research, which came out in April,

I rely very heavily on my data scientists to do all of the data science work.

I have no data science capabilities.

And in the middle of this research, Microsoft makes available to us the analyst agent.

Now, the analyst agent is basically a data scientist.

Showing 201–220 of 252 · page 11 of 13