ServiceNow Insights

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
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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
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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
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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
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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
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