ServiceNow Podcasts

Data teams obsess over pipelines and platforms but often skip the most fundamental step: truly understanding what people are actually asking for. We chat with data librarians Jenna Jordan and Amalia Child who share a framework for exactly that; it's called the reference interview, and it might be the most practical toolkit data teams have never used.

See omnystudio.com/listener for privacy information.

AI governance at scale — what it means, how to do it, and what regulations you need to know now. Host Bobby Brill brings together five ServiceNow experts across two conversations for a complete 20-minute briefing on governing AI in the enterprise.

━━━━━━━━━━━━━━━━━━━━━━━━
WHAT WE COVER
━━━━━━━━━━━━━━━━━━━━━━━━

RAVI KRISHNAMURTHY — VP, AI Platform, ServiceNow
Why hidden AI is one of the biggest unmanaged risks in the enterprise — and why governance is an accelerator, not a brake.

PETER WEIGT — Responsible AI, ServiceNow
The innovation paradox: how AI Control Tower makes governance a team sport and breaks down the silos that slow AI deployment down.

SAMPADA CHAVAN — AI Control Tower, ServiceNow
How AI Control Tower was built, what the discovery problem really looks like, and why compliance must be baked into the AI lifecycle — not bolted on at the end.

ANDREA LAFOUNTAIN — AI Legal, ServiceNow
The three regulatory frameworks every enterprise needs to know: EU AI Act, Colorado AI Act, and NIST. Plus: the compliance strategy that scales across all of them.

NAVDEEP GILL — Responsible AI, ServiceNow
The math on enterprise AI compliance — why it's exponential — and how AI Control Tower's automated discovery keeps you ahead of it.

━━━━━━━━━━━━━━━━━━━━━━━━
CHAPTERS
━━━━━━━━━━━━━━━━━━━━━━━━

0:00 Introduction
1:23 The Hidden AI Problem — Ravi Krishnamurthy & Sampada Chavan
5:33 AI Control Tower in Practice — Peter Weigt & Sampada Chavan
7:37 The Regulatory Landscape — Andrea LaFountain & Navdeep Gill
14:38 Compliance in Action & Key Deadlines
17:05 Wrap-Up

━━━━━━━━━━━━━━━━━━━━━━━━
KEY DATES TO KNOW
━━━━━━━━━━━━━━━━━━━━━━━━

EU AI Act enforcement: August 2026
Colorado AI Act enforcement: June 2026
NIST AI RMF: Voluntary framework, increasingly referenced by regulators

━━━━━━━━━━━━━━━━━━━━━━━━
LEARN MORE
━━━━━━━━━━━━━━━━━━━━━━━━

ServiceNow AI Control Tower: https://www.servicenow.com
NIST AI Risk Management Framework: https://www.nist.gov/artificial-intelligence

━━━━━━━━━━━━━━━━━━━━━━━━
ABOUT THIS PODCAST
━━━━━━━━━━━━━━━━━━━━━━━━

Hosted by Bobby Brill. A ServiceNow podcast exploring the people, technology, and ideas shaping the future of work.

#AIGovernance #ServiceNow #AIControlTower #ResponsibleAI #EUAIAct #EnterpriseAI #AICompliance #FutureOfWork #NowAssist #Podcast

See omnystudio.com/listener for privacy information.

There's a gap at the heart of most organisations and data hasn't filled it. Pete Williams, an experienced data leader, has spent years watching companies build sophisticated data capabilities, only to see insight stall before it reaches action. In this episode, we diagnose why: organisations still make decisions along traditional vertical lines, while data sits in a horizontal layer that was never given real authority. AI doesn't solve this misalignment, it exposes it! Pete makes a compelling case for why fixing this structural void is the defining challenge for data leadership today.

See omnystudio.com/listener for privacy information.

This is the takeaway episode with Pete Williams, an experienced data leader, who argues that organisations still make decisions along traditional vertical lines, while data sits in a horizontal layer that was never given real authority. Pete makes a compelling case for why fixing this structural void is the defining challenge for data leadership today.

See omnystudio.com/listener for privacy information.

Juan and Tim have a rant session with a special guest in person, Jesús Barrasa, well known in the knowledge graph space. We covered AI trends, the balance between operational vs. strategic work, knowledge graphs, context graphs. The most valuable part of our rant was our pragmatic discussion about ontologies stripping them down to what they actually are and why they matter.

Starting to work with ontologies? Think about these two dimensions: WHAT (Formal, Explicit and Shared Meaning) and WHY (Interoperability, Automation).

See omnystudio.com/listener for privacy information.

Most organisations know they're not getting value from their data and AI investments, but few are willing to name the real culprit: the boardroom. In this episode, Kyle Winterbottom joins Juan and Tim to argue that the mandates handed to CDAOs are fundamentally broken because the people hiring them don't understand what good looks like. Boards continue to build capability without starting with the end in mind, creating a culture where data leaders are rewarded for building things rather than delivering outcomes. The result? An entire industry that has learned to play the wrong game. 

See omnystudio.com/listener for privacy information.

This is the takeaway episode with Kyle Winterbottom where he argues that the mandates handed to CDAOs from the board are fundamentally broken because the people hiring them don't understand what good looks like. The result? An entire industry that has learned to play the wrong game. 

See omnystudio.com/listener for privacy information.

What is Agentic AI — and what can it actually do for your business? In this episode of the podcast, host Bobby Brill brings together three conversations with the people building Agentic AI at ServiceNow into one 20-minute briefing.

Whether you're leading a team, managing a platform, or just trying to understand what your company is investing in - this episode gives you the full picture.

━━━━━━━━━━━━━━━━━━━━━━━━

WHAT WE COVER

━━━━━━━━━━━━━━━━━━━━━━━━

RITA CASTILLO — VP of Design, Platform & AI

The clearest explainer of Agentic AI you'll find. Rita walks through the full evolution from scripted automation to agentic systems, what makes agentic different, and how the orchestrator-and-agent hierarchy works at ServiceNow.

AMRUTHA RAMESH — Visiting Researcher, ServiceNow

Amrutha built Agent Ada — a real AI agent designed to turn enterprise data into actionable insights. She explains how Ada understands your goal, adapts to who's asking, and delivers analysis your team can actually use.

ISSAM LARADJI & ANITHA RAGHAVAN — Research Scientist & Product Manager, ServiceNow

How do you know if your AI's insights are trustworthy? Issam and Anitha built InsightBench — a benchmark that uses AI to evaluate AI — to answer exactly that question.

━━━━━━━━━━━━━━━━━━━━━━━━

CHAPTERS

0:00  Introduction
1:30  What Is Agentic AI? — Rita Castillo, VP of AI Design
6:00  How Agents Work as a Team
10:30  Meet Agent Ada — Amrutha Ramesh, Visiting Researcher
16:00  Can You Trust Your AI? — Issam Laradji & Anitha Raghavan
21:30  Wrap-Up

━━━━━━━━━━━━━━━━━━━━━━━━

GUESTS

━━━━━━━━━━━━━━━━━━━━━━━━

Rita Castillo — VP, AI Design at ServiceNow

Amrutha Ramesh — Visiting Researcher, ServiceNow

Issam Laradji — Research Scientist, ServiceNow

Anitha Raghavan — Product Manager, ServiceNow

━━━━━━━━━━━━━━━━━━━━━━━━

LEARN MORE

━━━━━━━━━━━━━━━━━━━━━━━━

ServiceNow Agentic AI: https://www.servicenow.com

More episodes:

Narrative Analytics with Agent Ada: https://youtu.be/k1P9o2glq90

InsightBench & AgentPoirot: https://youtu.be/0_ikQQ82qAk

Understanding Agentic AI with Rita Castillo: https://youtu.be/JyFdcQChYLs

━━━━━━━━━━━━━━━━━━━━━━━━

ABOUT THIS PODCAST

━━━━━━━━━━━━━━━━━━━━━━━━

Hosted by Bobby Brill. ServiceNow INsights podcast explores the people, technology, and ideas shaping the future of work.

#AgenticAI #ServiceNow #AIAgents #ArtificialIntelligence #FutureOfWork #EnterpriseAI #DataAnalytics #NowAssist #MachineLearning #Podcast

See omnystudio.com/listener for privacy information.

Stop treating AI governance like a compliance checkbox handed down from the boardroom. Kierra Dotson joins Juan and Tim to argue that the chasm between ambitious AI strategy and messy technical reality exists precisely because we've made governance someone else's problem. The fix? Empower engineers, data scientists, and product owners to own their role in shaping ethical, sustainable AI — not as a burden, but as the thing that makes the work actually matter.

See omnystudio.com/listener for privacy information.

This is the takeaway episode with Kierra Dotson where she argues that the chasm between ambitious AI strategy and messy technical reality exists precisely because we've made governance someone else's problem. 

See omnystudio.com/listener for privacy information.