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

Page: https://stenobird.com/podcast/mlops-community/the-future-of-ai-operations-insights-from-pwc-ai-managed-services
Text version: https://stenobird.com/podcast/mlops-community/the-future-of-ai-operations-insights-from-pwc-ai-managed-services.md
Podcast: [MLOps.community](https://stenobird.com/podcast/mlops-community)
Published: 2025-11-14T14:31:35+00:00
Episode link: https://podcasters.spotify.com/pod/show/mlops/episodes/The-Future-of-AI-Operations-Insights-from-PwC-AI-Managed-Services-e3al11r
Audio file: https://anchor.fm/s/174cb1b8/podcast/play/110838267/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-10-7%2F410795119-44100-2-9b39efd83d341.mp3
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/mlops-community/episodes/the-future-of-ai-operations-insights-from-pwc-ai-managed-services
Duration seconds: 2487

## Resource

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 ✌️ ~…

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/mlops-community/episodes/the-future-of-ai-operations-insights-from-pwc-ai-managed-services/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/mlops-community/the-future-of-ai-operations-insights-from-pwc-ai-managed-services.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.