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Sriram Palapudi

ServiceNow

  • 1 episode on Chain of Thought
  • 1 topic covered
  • 1 full transcript
  • Nov 2024 first on the show

At the time of the conversation, Sriram Palapudi was Senior Director of ML Platform Engineering at ServiceNow. He joined the enterprise-AI-ROI panel on Chain of Thought to discuss the trade-offs and prioritization that go into operationalizing AI inside a large software company.

What this guest adds

Sriram Palapudi explains that ServiceNow cannot run a separate model for every customer, so it trades off the number and size of its models against limited infrastructure. Read transcript at 26:00

Cover art for Why Most Enterprise AI Projects Fail to Show ROI | HP, ServiceNow & Accenture

Latest episode with Sriram Palapudi · EP 4

Why Most Enterprise AI Projects Fail to Show ROI | HP, ServiceNow & Accenture

Vikram Chatterji, Alex Klug, Sriram Palapudi & Jay Subrahmonia ·

Show notes & transcript → All listening options →

Episodes

What the conversations cover

These notes summarize the episodes featuring Sriram Palapudi, including other speakers in panel conversations. Follow a source link to read the discussion in context.

EP 4 Why Most Enterprise AI Projects Fail to Show ROI | HP, ServiceNow & Accenture

  • The enterprise “ROI of AI” panic is a correction, not a dead end. Vikram Chatterji frames it as a “trough of disillusionment”: enterprises that overpaid for expensive frontier models 8–10 months ago, spending “maybe 50 million dollars” on a couple of applications, are now whiplashed when the returns lag — but “we’re still in the first innings.” Episode takeaways
  • ROI from enterprise AI rarely shows up as new revenue. Chatterji notes there is no “net new AI-powered bank” being built — the value is cost savings and operational efficiency, measured over six to eight months by comparing human-capital cost before and after and how many humans-in-the-loop a workflow still needs. Episode takeaways
  • Trust gates deployment at HP. Alex Klug: “the worst thing that can happen is we are in the news about having deployed a solution that has steered our customers wrong.” His CDO puts it bluntly — “you guys are building rocket ships, I want a braking system” — and that missing explainability is what keeps CIOs from moving past one or two pilots. Episode takeaways

In their words

And we try to prioritize based on where we think the customer will derive the highest value at this point. So that's where there's a lot of back and forth with customers.

Sriram Palapudi Why Most Enterprise AI Projects Fail to Show ROI | HP, ServiceNow & Accenture · 27:00

Transcript excerpts; ellipses mark omitted words. Some automatically selected quotes have filler words removed.