Sep 18, 2026 · 23 min · 13 segments
How do you turn AI from an experiment into a capability that transforms an entire organization? In this episode of Soul of the CIO, we sit down with Deepika Adusumilli, former Chief Data Officer at…
Deepika AdusumilliGuest
Tom McGrathHost
running ethical, governed, secured spaces, right? A lot of times, if you look at a lot of C-suite leaders, they're in such a rush.
Because you absolutely have to be able to write that story for the board, for your teams and for your customers.
While we are doing that, we need to be in a space to take that responsibility as well.
With all of the data centers we are housing across the world, it's not going to be sustainable.
But who is looking at, and I say this, we are doing a lot of generative AI.
We're also doing a lot of agentic AI, which is connecting, integrating, and doing all of that.
While we are doing all of that, we are building the platforms that support all of it.
But are we thinking about how we are handling sensitive data? Are we deeply thinking about the ethical nature of what we are putting out there, right? There's some, you know, if you look at some LLMs, we are building it, but we're moving at such fast pace that that is going to be a problem quite quickly.
And while we are in a rush to do many things, I've seen many leaders say this, or it is still... out in sweet sweets with boards, say it's just analytics.
A lot of people at ChatGPT, spokespeople said, please do not say please.
Do not do all of that because your pleases and your thank yous are costing us a lot of money.
We are not, you know, there's a lot of power that's being consumed to do all of this.
running ethical, governed, secured spaces, right? A lot of times, if you look at a lot of C-suite leaders, they're in such a rush.
Because you absolutely have to be able to write that story for the board, for your teams and for your customers.
While we are doing that, we need to be in a space to take that responsibility as well.
With all of the data centers we are housing across the world, it's not going to be sustainable.
But who is looking at, and I say this, we are doing a lot of generative AI.
We're also doing a lot of agentic AI, which is connecting, integrating, and doing all of that.
While we are doing all of that, we are building the platforms that support all of it.
But are we thinking about how we are handling sensitive data? Are we deeply thinking about the ethical nature of what we are putting out there, right? There's some, you know, if you look at some LLMs, we are building it, but we're moving at such fast pace that that is going to be a problem quite quickly.
And while we are in a rush to do many things, I've seen many leaders say this, or it is still... out in sweet sweets with boards, say it's just analytics.
A lot of people at ChatGPT, spokespeople said, please do not say please.
Do not do all of that because your pleases and your thank yous are costing us a lot of money.
We are not, you know, there's a lot of power that's being consumed to do all of this.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.
