ServiceNow Podcasts

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.

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. 

What does dentistry have to do with data analytics? More than you'd think. Thais Cooke went from cleaning teeth to cleaning datasets and her unconventional path turned out to be a superpower. In this episode, Thais joins Juan and Tim to talk about why subject matter expertise is the ultimate force multiplier, how to build trust with stakeholders (hint: "I don't know" is a valid answer), and why the best data professionals aren't technical specialists — they're problem solvers. 

This is the takeaway episode where Thais Cooke joins Juan and Tim to talk about why subject matter expertise is the ultimate force multiplier. Oh, and what does dentistry have to do with data analytics? More than you'd think!

Your dashboards show you what's happening. Process mining shows you why — and what to do about it. In this episode, Bobby Brill sits down with Dan Grady to demystify process mining: what it is, how it works within the ServiceNow platform, and why organizations using it are uncovering years of hidden inefficiency they never knew existed. Dan walks through real customer stories — from a double approval process for printer toner that was costing 2 days per request to a single form-field change that saved 7 years of manual work per month — and explains how process mining moves you from raw data to actionable insight faster than any traditional approach. Dan Grady has a technology career that spans over 25 years. The last 10 spent at ServiceNow. In his current role as Director of Product Management, he is focused on helping customers identify process improvement opportunities through the use of ServiceNow's Process and Task Mining solution. Outside of the office, he enjoys spending time with his wife and 3 girls, public speaking, bad NY sports teams, a good happy hour deal, and storytelling. Whether you're new to ServiceNow or a seasoned admin, this episode will change how you think about your workflows. 🔗 Get started with Process Mining: https://www.servicenow.com/community/process-mining-article/servicenow-process-mining-formerly-process-optimization-faq/ta-p/2309083 📄 Learn more about ServiceNow: https://www.servicenow.com/docs/ 🎓 ServiceNow Docs YouTube Channel: https://www.youtube.com/channel/UCQjE37R-Y4DTq7kUWPO83Wg Chapters 0:00 – Introduction & Dan Grady's Background 1:13 – What Is Process Mining? (The X-Ray for Your Business) 2:08 – Why Dashboards Alone Aren't Enough 3:56 – From Raw Data to Actionable Insights 4:59 – The Printer Toner Story: Removing a Step, Saving Two Days 6:01 – The Spaghetti Bowl: Visualizing Your Processes 7:34 – The "47 Years" Moment That Shocks Every Customer 8:43 – Finding Automation Opportunities with Process Mining 10:49 – Best Practices: How to Avoid Getting Overwhelmed 12:35 – Getting Started: First Steps on the Platform 15:11 – Real Customer Use Cases (Approvals, Routing & More) 17:59 – Why You Never Stop Needing Process Mining 20:50 – The Analytics Stack: Operational Reporting → Platform Analytics → Process Mining 22:45 – Closing & Where to Learn More

Want to get the honest no bs scoop of what happened at the Gartner Data & Analytics in Orlando, then this short and sweet episode is for you. This was an impromptu recording where Sanjeev Mohan and Ryan Dolley join Juan and Tim to share what they learned. 

Juan and Tim rant about whats on their mind going into Gartner Data and Analytics conference: "Context" is going to be the word of the week, The Execution Gap, Decision intelligence might be the bridge and the thing nobody's talking about yet: context lock-in. 

The Human in the Loop | Ethical AI with Di Le  ServicveNow Insights Podcast - hosted By Bobby Brill What does it actually mean to build AI responsibly? Not the buzzword version. The real version. In our latest episode, I sat down with Di Le — AI Ethicist and Human-Centered AI Strategist at ServiceNow — and she broke it down in a way I hadn't heard before. Most people use Ethical AI, Responsible AI, and Human-Centered AI interchangeably, and Di breaks down exactly where each one lives and how they apply to building AI that aligns with our societal values. Fairness. Transparency. Bias. Beyond evaluation and technical talking points, these are also design decisions with real consequences for real people — and operationalizing them is harder than most organizations want to admit. One line from Di that stopped me: "People have crossed oceans and built monuments in honor of our capability to think. And I just want people to preserve that and not surrender it so freely." That's the episode in one sentence. To learn more about Ethical AI and reseatch from Di Le and more - https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1020&context=sighci2025 https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1025&context=sighci2024  https://www.youtube.com/watch?v=QhVY-85A-Wk&t=5s ServiceNow Insights Podcast 🎧 The Human in the Loop — now available wherever you listen to podcasts. 0:00 – Introduction & Di Le's Background 1:35 – Is Ethical AI Just About Preventing Skynet? 2:22 – Responsible AI vs. Ethical AI vs. Human-Centered AI 6:34 – Why All Three Are Deeply Interconnected 8:39 – When "Amazing" Tech Goes Wrong: The Adobe Example 10:07 – Fairness, Transparency & Accountability Explained 12:06 – The Mug Factory: Understanding Bias in AI 14:52 – Transparency & Interpretability in AI Design 16:48 – Keeping Humans Genuinely in the Loop 18:06 – Accountability & Human Oversight 20:39 – Why Bias Isn't a Bug You Can Just Fix 22:30 – How ServiceNow Approaches Responsible AI 23:11 – Why Di Chose ServiceNow (The Origin Story) 27:09 – One Thing Everyone Should Do With AI 28:38 – Closing

Most data and AI initiatives don't fail on technology — they fail on meaning. In this episode, Juan and Tim chat with Säde Haveri, who makes the case that metadata is the bridge between systems and people: the language and structures that help humans understand, trust, and use data in their daily work. Her focus isn't on building smarter pipelines, but on turning complexity into shared understanding so that data actually drives decisions and behavior change. Because if your data doesn't speak your language, it simply won't work for you.

This is the takeaway episode with Säde Haveri where she makes the case that metadata is the bridge between systems and people. Most data and AI initiatives don't fail on technology — they fail due to the lack of meaning. If your data doesn't speak your language, it simply won't work for you.

AI is transforming how businesses operate and how early-career talent grows. In this episode, UTG Unlocked, Mark Stockford (GVP, Global Cloud Operations) and Alyssa Gerhart (former intern, now full-time employee) share how AI is reshaping work at ServiceNow—from strategic impact to day-to-day execution. Our guest hosts Jorden Shelton and Cynthia Mathenge guide the conversation and explore real AI use cases like Unity, RAG-based duplicate detection, and intent detection, while emphasizing the importance of critical thinking and strong fundamentals.  In this episode, designed not just for recent interns, you’ll learn how AI is expanding career paths, how teams like Global Cloud Services power innovation behind the scenes, and what interns and early-career professionals can do now to grow: stay curious, use AI intentionally, seek mentors, and don’t just consume—contribute.  UTG is the engine behind the scenes here at ServiceNow — enabling innovation, maintaining production environments, supporting internal teams, and driving operational excellence. It connects strategy to execution by combining engineering, cloud operations, and technology operations to deliver stable, high-performing systems that allow the business and customers to succeed.  For more information about the Early Careers program visit - https://careers.servicenow.com/early-careers/  00:00 Welcome & What ‘UTG Unlocked’ Is All About  02:50 Meet the Panel: Mark, Alyssa, Jorden & Cynthia  04:29 Segment 1: How AI Is Impacting the Business (Customers vs. Employees)  06:26 Skills That Matter in an AI-Powered Workplace  09:52 Real AI Use Cases: Unity, Agents, and Faster Ops  13:57 AI and Career Growth: New Roles, New Paths, Partnering with AI  18:56 Advice for Early-Career Talent: Stay Curious, Build, Contribute  20:41 Segment 2 Kickoff: Rapid-Fire Fun 28:50 Pulling Back the Curtain: What is GCS  30:37 GCS as a Superhero: Operating in the Shadows Like Batman   31:35 The Hidden Work: Solving Customer-Created Problems & Root-Cause Hunting  33:37 Alyssa’s Journey: Intern to FTE, Mentorship, and Scaling Developer Productivity  35:38 What’s Next: Emerging Tech on the Radar (AI to Quantum Computing)  37:15 Closing Takeaways: Keep Learning, Use AI Wisely, Ask Questions, and Give Back  40:12 Final Words & Where to Learn More 

Juan and Tim are back for a LIVE episode with Nachiket Mehta, an experienced data leader who has lived and breathed the “shift left”. In this episode we unpack how ontology, events and culture unlock enterprise AI.  We discuss the gap between what your systems think is happening and what's actually happening on the ground and dive into real world examples: a trailer with expensive merchandise sat forgotten in a yard for weeks. $35M in delayed orders. The math added up, but nobody saw it coming. Why? Because we're obsessed with cleaning data and building dashboards, but nobody mapped the happy path vs. the exceptions actually happening on the ground.  What is delivery when the customer isn't home? What's "lost in transit" versus "sitting in our own yard"? The solution? Send your ontologist to the fulfillment center. Build tiger teams. Shift your data teams left to act like software product teams. And most importantly: connect the five why's back to your OKRs, or you're just building features nobody needs.

This is the takeaway episode with Nachiket Mehta, an experienced data leader who has lived and breathed the “shift left”. In this episode we will unpack how ontology, events and culture unlock enterprise AI. We discuss why your ontologist needs to visit the fulfillment center, how to shift data teams from afterthought to proactive partner, and why the five why's matter more than your tech stack.

Tim and Juan unpack why Vaibhav Gupta, co-creator of BAML, states that most agentic AI code out there is dumb. It's ugly, fragile, and built by people who've never had to wrestle with probabilistic systems before. But here's the thing: we've seen this movie before. Remember when building websites was painful? Then jQuery showed up... then React... then Tailwind. Abstraction always wins. It just takes time (and about 50 bad frameworks for every good one). The gaming industry also figured out about unreliable systems decades ago. The takeaway is that the real bottleneck isn't abstracting the AI, instead it's abstracting the failure. Oh, and this episode has a live demo (first time we ever do this!). 

This is the takeaway episode with Vaibhav Gupta, co-creator of BAML, where we unpack why most agentic AI code out there is dumb. If you like what you hear, you should listen to the full episode. 

Juan and Tim grab a beer and rant about decision intelligence and context graphs, MCP vs Skills, and how companies really have a work problem (not a data/AI problem) and what is the maturity model to get that work done

Tired of executives breathlessly asking "what's our AI strategy?" while your data team drowns in 1,000 dashboards that nobody uses? In this episode, Juan and Tim cut through the noise with Juan Gorricho a data and analytics executive with more than 25 years of experience delivering business value at TD Bank, Visa, The Walt Disney Company We cover: Why do data leaders keep building vanity metrics instead of business value? How do you go from being an "order-taking reporting team" to a trusted decision intelligence partner? And why does every data governance initiative feel like building policies nobody wants to follow? The secret? Do it by slice. Not top-down. Not bottom-up. By slice—connecting each data product to real business outcomes while building reusable foundations underneath. If you're ready to turn your data team's NPS around and build trust that actually sticks, this one's for you. Spoiler: It starts with being brave enough to tell executives the truth. And btw, "I bet 40 columns drive 90% of your business."

This is the takeaway episode of our chat with Juan Gorricho, a data and analytics executive with more than 25 years of experience delivering business value at TD Bank, Visa, The Walt Disney Company. We cover: Why do data leaders keep building vanity metrics instead of business value? How do you go from being an "order-taking reporting team" to a trusted decision intelligence partner? And why does every data governance initiative feel like building policies nobody wants to follow? And so much more. If you liked these takeaways, listen to the full episode!

Juan and Tim got together for a beer to rant about what's on their mind, the latest in the data world and share Data Day Texas takeaways

Dr. Irina Steenbeek is a data practitioner, and author of multiple books including Data Lineage from a Business Perspective. In this episode, Juan and Tim discuss with Irina the practical realities of implementing data lineage and its relationship to Data and AI governance. For example, do you really need to have a comprehensive technical lineage? A lot of honest no-bs nuggets in this episode!

This is the takeaway episode with Dr. Irina Steenbeek, a data practitioner, and author of multiple books including Data Lineage from a Business Perspective. In this episode, Juan and Tim discuss with Irina the practical realities of implementing data lineage and its relationship to Data and AI governance. 

A conversation with Jody Elliott, Head of IT Risk and Sustainability at National Grid, on embedding responsible AI and sustainability at scale.  In this episode of the ServiceNow Executive Circle Podcast, Jody Elliott, Head of IT Risk and Sustainability at National Grid, explores how sustainability, risk, and AI can work together to create real business value. Operating across critical national infrastructure in the UK and US, Jody shares why “good green operations are just good operations” and why sustainability and responsible AI must be embedded by design, not treated as standalone initiatives.  The conversation covers:  How IT sustainability, e-waste policy, emissions reduction, and regulatory compliance can drive efficiency, trust, and innovation  Practical, real-world AI use cases, including how generative AI can improve compliance and risk oversight by analysing large volumes of unstructured data  The importance of AI literacy, human-in-the-loop governance, and strong control frameworks  How organisations should prepare for emerging regulation, including the EU AI Act and CSRD  What’s next—from rising energy demand and supply chain risk to the next wave of responsible technology  Tune in now for a practical, real-world look at how responsible AI and sustainability can drive efficiency, trust, and innovation at scale.  If you’ve got an idea for a topic, would like to propose a guest for the show or discuss any of the points raised in this episode with a ServiceNow representative, just send an email to executivecircleuki@servicenow.com   And if you are not already an EXECUTIVE CIRCLE member and would like to learn more about our exclusive membership and all the benefits it brings, please visit.  

AI, Skills, and the Future of Work at Aviva  In this episode of the ServiceNow Executive Circle podcast, Kat Finch is joined by Dan Godfrey, Group People Transformation and Talent Director at Aviva, to explore how people strategy, technology, and AI are coming together to reshape the future of work. Dan shares how Aviva’s scale, legacy, and long history influence its approach to transformation, and why operational readiness, adoption, and change management are just as critical as the technology itself. From learning and recruitment to people technology and data analytics, the conversation highlights how HR and IT must work in lockstep to deliver meaningful outcomes for both colleagues and customers.  The discussion also dives into the evolving role of AI in skills development, workforce planning, and customer experience. Some key topics include:  The evolving role of AI in skills development, workforce planning, and customer experience  Highlighting how Aviva is using AI to surface skills and support “squiggly careers”  Showing how AI helps colleagues navigate future career paths and learning opportunities  Emphasising the importance of human-in-the-loop governance, trust, and responsible use of AI  Looking ahead to how AI could democratise financial services by making financial knowledge more accessible  Reinforcing why investing in peoples capability remains the most critical transformation for organisations  If you’ve got an idea for a topic, would like to propose a guest for the show or discuss any of the points raised in this episode with a ServiceNow representative, just send an email to executivecircleuki@servicenow.com   And if you are not already an EXECUTIVE CIRCLE member and would like to learn more about our exclusive membership and all the benefits it brings, please visit.  

Ontologies are suddenly everywhere but they didn’t come out of nowhere. In this episode, Juan and Tim chat with Professor Oscar Corcho, who has been doing ontology engineering since the early 2000s (check out his book Ontological Engineering from 2003), to demystify what ontologies actually are, where they came from, and why that history still matters today. If you’re new to ontologies or feeling lost in the current hype, this episode gives you the grounding you didn’t know you needed to understand where the field has been and where it should be going next.

This is the takeaway episode of our conversation with Professor Oscar Corcho, who has been doing ontology engineering since the early 2000s where we demystify what ontologies actually are, where they came from, and why that history still matters today. 

Juan and Tim rant about Context Graphs and categorizations of how companies work with data.

Tim and Juan chat with Tony Baer and Matt Housley, hosts of the “It’s About Data” podcast about what are the trends they are seeing with the start of 2026. We talked about AI magical thinking, Agentic architectures, Graphs, careers and much more. 

This is the takeaway episode about the chat that Tim and Juan have with Tony Baer and Matt Housley, hosts of the “It’s About Data” podcast about what are the trends they are seeing with the start of 2026. We talked about AI magical thinking, Agentic architectures, Graphs, careers and much more.

In the opening episode of 2026, Juan and Tim discuss what happened in the data world during 2025 and what they are looking forward to in 2026. We discuss semantics, ontologies, context, tool/vendor consolidation, data teams, platform convergence, governance, and of course... AI! In the episode we mention the talk we gave at BigDataLDN "Why Data Teams Must Lead the Next AI Revolution" which you can find here: https://www.youtube.com/watch?v=ULfcjlXxyXg

Exploring Leadership and AI with Anand Tharanathan In this engaging episode of our podcast, we delve into the world of leadership and Artificial Intelligence with Anand Tharanathan, GVP of Product Research and Insights at ServiceNow. Anand shares his journey from an individual contributor to a leadership role, emphasizing the importance of empathy, mentorship, and learning from failure. He discusses his unique perspective on leadership drawn from his experiences in sports and how this has influenced his professional growth. Anand also provides insights into the rapidly evolving field of AI, comparing it with human automation and highlighting the importance of keeping the human element in the loop. He addresses the challenges and nuances of designing AI systems that enhance human capabilities rather than replace them. Additionally, Anand discusses how to strike a balance between being product-centric and people-centric, and the crucial role of adaptability in navigating technological advancements. Towards the end of the conversation, Anand outlines a framework for effectively using AI and advises on avoiding common pitfalls when integrating AI into new products. This episode is a must-watch for anyone interested in leadership, AI, and the future of technology. Join us and gain valuable insights from industry experts! Guest - Anand Tharanathan, GVP of Product Research and Insights at ServiceNow Guest Host - Apurva Korde 00:00 Introduction and Guest Welcome 00:24 Discussing UX Research and AI 01:18 Leadership Journey and Insights 03:45 The Role of Mentors and Managers 09:59 Design Leadership vs. Conventional Leadership 13:56 Balancing Product and People-Centric Leadership 17:55 Adapting to Rapid Technological Changes 18:56 Navigating the AI Revolution 19:14 Staying Calm and Curious in the AI Era 20:45 Insights from a Tech Leader on AI 21:42 Designing Human-Centric AI Experiences 26:32 The Importance of Human in the Loop 31:24 Frameworks for AI Use and Misuse 34:25 Building AI-Powered Products 36:37 Balancing AI and Business Goals 38:45 Concluding Thoughts on AI

Tim and Juan chat with Lena Hall, the Senior Director of Developer Relations at Akamai, and an AI practitioner where we dive into what it means to build AI agents. 

This is the takeaway episode with Lena Hall, the Senior Director of Developer Relations at Akamai, and an AI practitioner where we dive into what it means to build AI agents. If you like what you heard, you should check out the full episode!

Tim and Juan chat with Arielle Rolland, a Data & AI Strategy Manager and Data Product Enthusiast and dive into how many teams are overcomplicating data products. We discuss what makes a good data product initiative and a good data product. Is a waterfall approach actually that bad? And how to balance between strategy and delivery. If you are scratching your head about data products and feel lost, this episode is for you!

This is the takeaway episode with Arielle Rolland, a Data & AI Strategy Manager and Data Product Enthusiast where we dive into how many teams are overcomplicating data products. We discuss what makes a good data product initiative and a good data product. Is a waterfall approach actually that bad? And how to balance between strategy and delivery. If you are scratching your head about data products and feel lost, this episode is for you!  If you like what you heard, you should check out the full episode!

Tim and Juan chat with Danielle Crop is the EVP Digital Strategy & Alliances at WNS, former Chief Data Officer of Albertson and also the former Chief Data Officer of American Express about how data leaders and practitioners need to be thinking about AI and how to focus on what truly provides business value. We get into who will be building models, and how roles will be evolving in organizations. If you want to learn what is going through the mind of an executive data leader, this episode is for you!

This is the takeaway episode with Danielle Crop is the EVP Digital Strategy & Alliances at WNS, former Chief Data Officer of Albertson and also the former Chief Data Officer of American Express where we chat about how data leaders and practitioners need to be thinking about AI and how to focus on what truly provides business value, who will be building models, and how roles will be evolving in organizations. If you want to learn what is going through the mind of an executive data leader, this episode is for you. If you like what you heard, you should check out the full episode!

In this episode of the podcast, host Bobby Brill takes a break from hosting duties and introduces Shruti Shrivastava, Director of UX Research at ServiceNow in Bangalore, India. Shruti takes the reigns for this episode and interviews Averria Martin, Senior Director, UX Research. The conversation covers a range of topics including the application of AI in research, internal mobility at ServiceNow, and effective leadership strategies. Averria shares her personal and professional experiences, emphasizing the importance of work-life balance, growth mindset, and fostering a collaborative culture. The episode also highlights practical advice for transitioning from IC roles to leadership and the value of internal mobility and user-centric approaches in research. Guest - Averria Martin, Senior Director, UX Research Guest Host - Shruti Shrivastava, Director of UX Research 00:00 Introduction and Guest Introduction 00:13 Meet Shruti Shrivastava 01:10 Insights on AI in Research 01:51 Interview with Averria Martin 04:48 Work-Life Balance Tips 06:53 Career Advice for Researchers 09:27 Internal Mobility and Culture at ServiceNow 12:47 AI and Research Technologies 18:20 Collaboration and Leadership 26:04 Final Thoughts and Conclusion

Jessica Zuñiga is the Head of AI Readiness & Data Governance at BlueYeti and one of the most important voices in data governance in Mexico and Latin America. Tim and Juan discuss with Jessica about when data and AI governance truly becomes a business enabler and how to use frameworks like DAMA effectively. 

This is the takeaway episode with Jessica Zuñiga is the Head of AI Readiness & Data Governance at BlueYeti and one of the most important voices in data governance in Mexico and Latin America. Tim and Juan discuss with Jessica about when data and AI governance truly becomes a business enabler and how to use frameworks like DAMA effectively. If you like what you heard, you should check out the full episode!

Sitting down with Amrutha Ramesh, visiting researcher at ServiceNow one of the minds behind Agent Ada, a data-focused AI agent, in the latest episode of the podcast. We talk about the gap in enterprise workflows: you upload data, ask questions, and expect clear, data-backed insights… but traditional LLMs weren’t designed for that. Amrutha clarifies the distinction by explaining how Agent Ada surpasses merely inputting a dataset into ChatGPT or Gemini, employing personas and a library of reusable skills to analyze data in a more human-like manner. We also dig into turning raw analysis into a story and, most importantly, into actionable steps that people in the business can actually use. Guest - Amrutha Ramesh Host - Bobby Brill

A few months ago, Netflix engineering published a blog post titled “Model Once, Represent Everywhere: UDA (Unified Data Architecture)” which is an RDF knowledge graph connecting domain models to data through mappings, all grounded in-house metamodel. In this episode, Tim and Juan sit down with Alex Bertails to understand the motivations behind UDA, how it’s implemented and the value that Netflix is deriving from it. If you are interested in how to take metadata, knowledge graphs and RDF to the next level, this episode is for you!

Listen to the Tim and Juan's takeaways from our discussion with Alex Bertails about Netflix's Unified Data Architecture. If you like what you heard, listen to the full episode! 

A conversation with HR leader Davis Aguilar on Diageo’s shift toward simplicity, agility, and world-class HR excellence.  In this episode, Davis Aguilar—Global Head of HR Operations at Diageo, the global spirits company behind brands like Guinness, Johnnie Walker, Baileys, and Captain Morgan—shares how the organisation is transforming HR through operational excellence, cultural alignment, and smarter technology. He discusses the shift toward simplified workflows using ServiceNow and Workday, the importance of leadership sponsorship, and why cultural readiness is crucial when delivering change across 29,000 employees in 67 markets.  Davis also explores the realities of transformation on the ground, from unexpected digital adoption among remote field workers in Mexico to the evolving needs of a diverse, multi-generational workforce. He reflects on Diageo’s cautious but intentional approach to generative AI, the enduring relevance of human skills, and the company’s ambition to create an internal experience as strong as its world-famous brands.  If you’ve got an idea for a topic, would like to propose a guest for the show or discuss any of the points raised in this episode with a ServiceNow representative, just send an email to executivecircleuki@servicenow.com   And if you are not already an EXECUTIVE CIRCLE member and would like to learn more about our exclusive membership and all the benefits it brings, please visit.  

Tim and Juan chat with the honest no-bs analyst Sanjeev Mohan to discuss the latest trends in the data & analytics space. We go over the vendor unification, the focus on semantics and metadata, what trends have survived and much more.

Tim and Juan chat with the honest no-bs analyst Sanjeev Mohan to discuss the latest trends in the data & analytics space. We go over the vendor unification, the focus on semantics and metadata, what trends have survived and much more. If you like this short takeaway episode, you should listen to the full episode. 

Join host Bobby Brill as he sits down with ServiceNow's AI legal and governance experts to break down the complex world of AI regulations. Andrea LaFontain (Director of AI Legal), Ken Miller (Senior Director of Product Legal), and Navdeep Gill (Staff Senior Product Manager, Responsible AI) explain how organizations can navigate the growing landscape of AI compliance. In this episode, you'll learn about three major regulatory approaches: the risk-based EU AI Act, Colorado's algorithmic discrimination law, and the NIST voluntary framework. The experts discuss practical strategies for complying with multiple regulations simultaneously, using the EU AI Act as a baseline and measuring the delta for new requirements. Key topics covered: - Why proactive compliance matters before regulations fully take effect - How AI Control Tower helps discover and manage AI systems across your enterprise - The exponential math behind AI compliance (vendors, employees, third parties) - Setting up governance policies for high-risk AI use cases - Timeline for major compliance deadlines (Colorado June 2026, EU August 2026)  - The real costs of waiting for your first violation Whether you're managing AI deployment, working in compliance, or trying to understand the regulatory landscape, this episode provides actionable insights on building responsible AI governance infrastructure. Guests -  Andrea LaFountain -Director, AI Legal Ken Miller - Senior Director, Product Legal Navdeep Gill - Staff Senior Product Manager, Responsible AI Host - Bobby Brill Chapters: 00:00 Introduction to AI and Regulations 00:45 Meet the Experts 01:52 Overview of Key AI Regulations 03:03 Compliance Strategies for AI Regulations 07:33 ServiceNow's AI Control Tower 14:02 Challenges and Risks in AI Governance 16:04 Future of AI Regulations 18:34 Conclusion and Final Thoughts

In this episode of the ServiceNow UK&I Executive Circle Podcast, host Kat Finch speaks with Nick Pearson, CIO of Ricoh Europe, about how the company has successfully evolved from a traditional manufacturer to a technology-driven services business. Nick discusses the complex macro trends impacting European organisations, from shifting business models and tightening margins to the growing need for operational agility. He reflects on Ricoh’s 20-year transformation journey, highlighting how the company has remained resilient by continually pivoting, empowering change-makers, and fostering a culture of innovation.  The conversation explores the intersection of people and technology in driving digital transformation. Nick shares Ricoh's forward-thinking approach to AI governance and responsible innovation, alongside key themes such as:  The rise of technical roles reshaping today's workplace.  Building the skills and mindsets needed for a digital-first workforce.  Simplifying processes and using sentiment analysis to enhance document management.  Ricoh's vision to make work easier, smarter, and more human.  How leadership, collaboration, and curiosity are shaping the workplace of the future.  Tune in for a thoughtful discussion on how leadership, collaboration, and curiosity are shaping the digital workplace of the future.    If you’ve got an idea for a topic, would like to propose a guest for the show or discuss any of the points raised in this episode with a ServiceNow representative, just send an email to executivecircleuki@servicenow.com     And if you are not already an EXECUTIVE CIRCLE member and would like to learn more about our exclusive membership and all the benefits it brings, please visit.  

In this Community Week special, host Lauren McManamon is joined by fellow advocate Kristy Merriam and guest Dharti Shah, a Certified Technical Architect, to discuss the intersection of career, community, and parenting. From Dharti’s journey through the CTA program to the shared experiences she and Kristy have as mothers of children on the autism spectrum, the conversation explores how personal challenges shape professional growth, how ServiceNow skills translate into life lessons, and the importance of support systems, both at home and in the developer community.  ⏱️ Timestamps 00:00 Introduction of Hosts 01:43 Introduction of Guest, Dharti Shah 05:29 Discussing the ServiceNow Certified Technical Architect (CTA) Program 09:27 Balancing Work, Parenting, and Going Above and Beyond 18:16 New Perspectives Offered By Parenting 19:31 The Importance of "The Village" We Surround Ourselves With 21:30 Misconceptions About Being Working Parents 26:16 Advice For Women In Tech 31:28 Tech Trends Impacting Work Life, Home Life, and the Neurodivergent Community 37:51 Final Words of Wisdom 39:43 Conclusion  🔗 Links The Certified Technical Architect Application  The ServiceNow World Forums The ServiceNow Developer Site The Developer Advocate Blog

If Caleb Hammer hosted a show for CIOs, this would be the episode. 💥 Kat and Pete sit down to deliver the roast every IT leader needs - unpacking how technical debt quietly drains innovation, creates risk exposure, and costs you 27% interest on every “quick fix”. In this episode: 🚨 Why tech debt isn’t an IT issue - it’s an organizational problem 💸 The real cost of duplicate platforms, workarounds, and “Jimmy’s app” 🧱 How to renovate your tech foundations without stopping innovation 🤖 Why ignoring integration points will haunt your AI strategy 🧭 Practical steps to measure, manage, and reduce tech debt for good If your IT architecture looks like a house with rotting walls - this is your sign to call an intervention. 🎧 Subscribe to The Change Agents Podcast for more brutally honest takes on digital transformation, AI, and the future of enterprise agility. --- Hosted by ServiceNow's human agents: Peter McDonnell, Chief Transformation Officer and Katrina Read, Director of Transformation APJ

After 5 years of doing the podcast, time to revisit the past. Juan and Tim look at where this all started, how we are making progress in data, and where is history repeating itself. Listen for some #HonestNoBS takes about the data world!