The Future of AI Operations: Insights from PwC AI Managed Services

The Future of AI Operations: Insights from PwC AI Managed Services

Author: Demetrios November 14, 2025 Duration: 41:27
MLOps.community
Technology

Rani Radhakrishnan is a Principal at PwC US, leading work on AI-managed services, autonomous agents, and data-driven transformation for enterprises.


The Future of AI Operations: Insights from PwC AI Managed Services // MLOps Podcast #345 with Rani Radhakrishnan, Principal, Technology Managed Services - AI, Data Analytics and Insights at PwC US.


Huge thanks to PwC for supporting this episode!


Join the Community:

https://go.mlops.community/YTJoinIn

Get the newsletter: https://go.mlops.community/YTNewsletter


// Abstract

In today’s data-driven IT landscape, managing ML lifecycles and operations is converging.

On this podcast, we’ll explore how end-to-end ML lifecycle practices extend to proactive, automation-driven IT operations.

We'll discuss key MLOps concepts—CI/CD pipelines, feature stores, model monitoring—and how they power anomaly detection, event correlation, and automated remediation.


// Bio

Rani Radhakrishnan, a Principal at PwC, currently leads the AI Managed Services and Data & Insight teams in PwC US Technology Managed Services.

Rani excels at transforming data into strategic insights, driving informed decision-making, and delivering innovative solutions. Her leadership is marked by a deep understanding of emerging technologies and a commitment to leveraging them for business growth.

Rani’s ability to align and deliver AI solutions with organizational outcomes has established her as a thought leader in the industry.

Her passion for applying technology to solve tough business challenges and dedication to excellence continue to inspire her teams and help drive success for her clients in the rapidly evolving AI landscape.


// Related Links

Website: https://www.pwc.com/us/managedservices

https://www.pwc.com/us/en/tech-effect.html


~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

Join our Slack community [https://go.mlops.community/slack]

Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]

Sign up for the next meetup: [https://go.mlops.community/register]

MLOps Swag/Merch: [https://shop.mlops.community/]


Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Rani on LinkedIn: /rani-radhakrishnan-163615


Timestamps:

[00:00] Getting to Know Rani

[01:54] Managed services

[03:50] AI usage reflection

[06:21] IT operations and MLOps

[11:23] MLOps and agent deployment

[14:35] Startup challenges in managed services

[16:50] Lift vs practicality in ML

[23:45] Scaling in production

[27:13] Data labeling effectiveness

[29:40] Sustainability considerations

[37:00] Product engineer roles

[40:21] Wrap up


Hosted by Demetrios, MLOps.community is a space for honest, meandering talks about the real work of making artificial intelligence systems actually work. This isn't about hype or theoretical papers; it's about the messy, practical, and often surprising journey of taking models from a notebook into a live environment. You'll hear from engineers and practitioners who are in the trenches, discussing the tools, the frustrations, and the occasional breakthroughs that define the day-to-day. The conversations are deliberately relaxed, covering everything from traditional machine learning pipelines to the new world of large language models and even the intangible "vibes" of team culture and process. Each episode peels back a layer on what "production" really means, whether that involves deploying a predictive service, managing an agentic system, or maintaining reliability as everything scales. Tuning into this podcast feels like grabbing a coffee with colleagues who aren't afraid to dig into the technical nitty-gritty while keeping the tone conversational and accessible. It's for anyone who builds, manages, or is just curious about the operational backbone that allows AI to deliver value, offering a grounded perspective often missing from the broader conversation.
Author: Language: en-us Episodes: 100

Official website RSS
MLOps.community
Podcast Episodes
Hard Learned Lessons from Over a Decade in AI [not-audio_url] [/not-audio_url]

Duration: 48:42
Tecton⁠ Founder and CEO Mike Del Balso talks about what ML/AI use cases are core components generating Millions in revenue. Demetrios and Mike go through the maturity curve that predictive Machine Learning use cases have…
Product Metrics are LLM Evals // Raza Habib CEO of Humanloop // #320 [not-audio_url] [/not-audio_url]

Duration: 53:06
Raza Habib, the CEO of the LLM Eval platform Humanloop, talks to us about how to make your AI products more accurate and reliable by shortening the feedback loop of your evals. Quickly iterating on prompts and testing wh…
Getting AI Apps Past the Demo // Vaibhav Gupta // #319 [not-audio_url] [/not-audio_url]

Duration: 50:29
Getting AI Apps Past the Demo // MLOps Podcast #319 with Vaibhav Gupta, CEO of BoundaryML.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter // AbstractIt's…
Building Out GPU Clouds // Mohan Atreya // #317 [not-audio_url] [/not-audio_url]

Duration: 47:57
Demetrios and Mohan Atreya break down the GPU madness behind AI — from supply headaches and sky-high prices to the rise of nimble GPU clouds trying to outsmart the giants. They cover power-hungry hardware, failed experim…
AI, Marketing, and Human Decision Making // Fausto Albers // #313 [not-audio_url] [/not-audio_url]

Duration: 49:40
AI, Marketing, and Human Decision Making // MLOps Podcast #313 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.m…
MLOps with Databricks // Maria Vechtomova // #314 [not-audio_url] [/not-audio_url]

Duration: 52:43
MLOps with Databricks // MLOps Podcast #314 with Maria Vechtomova, MLOps Tech Lead | Founder at Ahold Delhaize | Marvelous MLOps.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlop…

«1...5678910»