Candid enterprise data talk, minus the gloss.
ServiceNow Podcasts leans into practical conversations about enterprise data, AI, governance, and organizational change. Recent episodes move between live Catalog and Cocktails debates, takeaway recaps, and ServiceNow-focused reflections on shared services in the AI era.
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ServiceNow Podcasts presents a wide enterprise-technology conversation with recent episodes centered on data leadership, AI strategy, governance, semantic modeling, and transformation inside large organizations. Its strongest recent strand is Catalog and Cocktails, a live, conversational format that favors direct questions over polished language. Tim Gasper and Juan Cicada return often as the voices steering those sessions. The tone is loose, but the arguments are serious. Guests are pushed to explain where data programs create value, where they drift into platform work, and why executives keep asking for transformation without always defining the decisions that need to change. Pete Williams frames a gap between data and decisions, arguing that organizations need decision systems tied to strategy, assumptions, execution, and trade-offs. Kyle Winterbottom challenges boardroom expectations for CDOs, especially when mandates emphasize technology, frameworks, and platforms more than ROI and accountability. Kierra Dotson brings the conversation into AI governance, describing governance as code through codification, version control, automation, and auditability. Nachiket Mehta connects ontology, events, leadership, and culture to enterprise AI readiness, stressing context, visibility, and change management. A Friday rant with Jesus Barraza turns ontologies and knowledge graphs into a practical discussion about shared language, interoperability, and real use cases rather than tool-building for its own sake. The feed also includes shorter takeaway episodes that summarize the key arguments from longer interviews. Those recaps make the show easier to sample while preserving the core points about mandates, metrics, use cases, and organizational design. ServiceNow-specific episodes broaden the lens to shared services, human experience, change fatigue, and value in the AI era. The show is not a tidy classroom lecture. It often sounds like working practitioners thinking aloud in public, with live-session timing, audience comments, and the occasional beverage-led detour. That looseness is part of the appeal. The recurring question is simple: how does enterprise technology change the work, the decisions, and the outcomes? For listeners inside data, AI, governance, and operations teams, the show offers arguments they can bring back to planning meetings. It is especially useful for people who already know the technical vocabulary and want sharper language for the organizational problems around it.
Made for: Built for data leaders, AI strategy teams, governance practitioners, and operators responsible for turning platforms into business outcomes. It best suits listeners comfortable with CDO mandates, ontologies, MLOps, governance, and organizational change.
What sets it apart: The show pairs ServiceNow enterprise context with live, unscripted pressure-testing of data and AI ideas. It stands out by treating governance, ontology, and decision infrastructure as operating problems, not just technical projects.
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Cocktail readiness first; then your data strategy has to explain how anyone makes a better decision.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A practical, decision-first look at what enterprise data work is supposed to make possible.
Pete Williams keeps enterprise data management grounded in the choices a business is prepared to make and stand behind. The episode tracks the less glamorous but essential machinery behind those choices: operating principles tied to strategy, shared context, assumptions,…
A Friday rant makes a practical case for ontologies as shared language for AI and enterprise data.
Juan and Tim welcome Jesus Barraza to Lazarus for a spontaneous Friday rant on ontologies and AI. Drawing on his background in graph knowledge management and the semantic space, Barraza helps steer the conversation toward a grounded question: what is an ontology for?
A practical discussion of how CDO mandates can drift from the business levers they are meant to serve.
Boards can give data leadership a mandate before the value levers are fully clear. Kyle Winterbottom, CEO and founder of Orbition Group, joins Tim Gasper and Juan Cicada for a candid discussion of that gap, drawing on interviews with people in CDO roles and conversations with…
Pete grounds AI-era transformation in the roles, trust, and customer value that help change hold.
ServiceNow's AI-era shift is handled at a human scale, with Pete's move to the US and a shared-services role in 2026 framed through the practical work of helping teams adapt.
A candid, practical look at turning AI governance documents into automated, auditable checks.
AI governance becomes more concrete as Kara Dodson frames it as governance as code. Compliance teams and engineers take rules that usually live in documents and PDFs, turn them into technical requirements, then codify, version-control, automate, and log the checks.
Enterprise IT after the sales deck.
Enterprise AI starts with better data.
Federal tech, grounded in execution.
["Catalog and Cocktails turns Pete Williams' claim that data work sits in a \u201cvoid\u201d between visibility and decisions into the episode's central argument.", "Williams says a chief data officer is often measured on outputs it cannot control, while sales, finance, supply chain, and marketing still own the actual business decisions.", "Tim Gasper and Juan Cicada push him on dashboards, business process, and the common habit of training teams to use tools instead of training them to decide.", "He closes by arguing for decision systems with lead indicators, operating principles like Southwest Airlines' \u201cIs this better for the customer?\u201d, and explainable AI."]
At Lazarus brewery in Austin, Juan, Tim, and Jesus Barrasa turn a Friday rant session into a discussion of ontologies, knowledge graphs, context graphs, and AI.
Kyle Winterbottom discusses how boards set data and AI initiatives up for failure by defining the CDO role around technology rather than business value and outcomes.
Kyle Winterbottom tells Tim Gasper and Juan Cicada that boards keep hiring CDOs for frameworks, dashboards, and platforms while expecting revenue, profit, cost, and risk gains.
Catalog and Cocktails centers AI governance, governance as code, and the gap between compliance and engineering.
On ServiceNow Podcasts, host Gert interviews Pete Andrew about a new role that spans shared services, employee experience, and the AI era.
Thais Cooke moved from dentistry and dental hygiene into data after COVID-era burnout and a dental lab data-entry job.
Tim Gasper and Juan Cicada host Nachiket Mehta, VP of AI and Data Engineering, to discuss how ontology, events, and culture unlock enterprise AI.
Vaibhav Gupta discusses the flaws in current agent-building approaches and his work on BAML.
Tim Gasper and Juan Sequeda interview Oscar Corcho, a professor who introduced Juan to ontologies and the semantic web, discussing their impact on enterprise data management.
Tony Baer and Matt Housley discuss their successful data podcast and share insights on 2026 trends in the data world.
Tim Gasper and Juan Cicada interview Alex Bertails about Netflix's unified data architecture, discussing its design and implications for enterprise data management.