Customer Engagement Champions

In this episode of the MoEngage Catalyst Customer Engagement Champions podcast, Nick Ippel, from MoEngage sits down with Jay Gyuricza (VP of Client Experience & New Business) and Kerianne Bullington (Director of Data Strategy) from Stable Kernel to unpack what it actually takes to build a data pipeline that powers true 1:1 agentic marketing.

Most brands treat a data lakehouse and an engagement platform as a two-tool purchase, Jay and Kerianne break down why that’s the most expensive mistake enterprise brands make, what happens when AI agents relearn customer preferences from scratch on every campaign, and why pairing Databricks with MoEngage, rather than forcing one platform to do both, is powering the next wave of AI-native customer engagement.

They close with a real QSR brand transformation that took campaign launches from a multi-week engineering bottleneck to something marketers could do themselves.

In this episode of the MoEngage Catalyst Champions podcast, host Nishan and Sumeet Tandure, Data & AI advisor, Ex-Snowflake Sr. Mgr - Sales Engineering discusses the evolution of marketing data architecture.

They explore how modern data warehouses are replacing traditional standalone CDPs and evaluate the strategic build-versus-buy decisions facing modern CMOs.

Sumeet dives into the technical details of zero-copy architectures over reverse ETL tools, the massive impact of running LLMs on unstructured data, and the future of scale campaigns driven by agentic AI.

In the first episode of the Customer Engagement Champions podcast, presented by MoEngage Catalyst , Nishan Das (Sr.Director of Technology Partnerships) sits down with Vijay Rajagopal (Head of GTM for BFSI, AWS) to unpack how financial institutions can build a powerful, AI-native customer engagement stack.

While AI has moved from experimental to essential, up to 75% of AI initiatives still fail to scale.

Vijay breaks down exactly what successful brands are doing differently, how to bridge the gap between insights and execution, and why AI is ultimately a business transformation problem, not just an IT project.