Webinar: Making AI Work in Marketing Ops
Missed the live session?
You can now access the full recording of our most talked-about webinar featuring four industry leaders with 50+ years of combined MOPS experience from companies like Juniper Networks, Cisco, Workiva, HP, and more.
They have been deep in the trenches—testing, failing, iterating, and finally making AI work in complex B2B marketing operations.


Deirdre Mahon
VP Marketing
Super{set}
Deirdre Mahon is a full-stack marketing leader and the current VP of Marketing at super{set}, a venture studio for AI startups. With deep experience across startups and public companies (Teradata, HP, Catch+Release), she’s known for building GTM engines, leading category creation, and executing growth with storytelling at the core.

Tarun Arora
CEO & Co-Founder RevCrew Inc
Tarun has over two decades of leadership & management experience in marketing technology, operations, and analytics domains at high growth technology companies like Workiva, Rimini Street, New Relic, and Cisco Systems. He has worked as a practitioner both in-house and as a consultant.

Sanjiv Verma
Global Marketing Strategy & Ops, Juniper Networks
Sanjiv Verma is a strategic Marketing Strategy and Ops leader with deep experience driving cross-functional transformation and innovation in enterprise B2B marketing. He brings a pragmatic, business-focused lens to modernizing the marketing stack and scaling operational impact.

Anurag Khemka
Chief Executive Officer
RightWave, Inc
Anurag is a pioneer in the marketing automation space with 25+ years of experience helping companies drive marketing effectiveness through the alignment of strategy, platforms, and processes. He has worked with global B2B organizations to scale their marketing operations and optimize MarTech investments.
What You’ll Learn
- Proven AI use cases across lead scoring, segmentation, campaign ops, and more
- Why AI pilots often stall—and what successful teams do differently
- The tech, team, and data readiness needed to operationalize AI
- Pitfalls to avoid (from people who’ve learned the hard way)
- What’s next in AI for Marketing Operations

Case Studies


