FiredUp! - The Startup Marketing Podcast
FiredUp! is the show for marketers working in early and late-stage startups. Each week, we walk through fresh strategies and tactics to build brand and drive demand for your startup. Featuring interviews with marketing leaders, our take on the latest trends, and practical tips about PR, content marketing and growth marketing, we promise plenty of signal with some noisy fun along the way.
FiredUp! is hosted by the team at startup marketing agency, Firebrand. Learn more at firebrand.marketing today.
FiredUp! - The Startup Marketing Podcast
Unlocking New Use Cases with Neha Bajwa
Most startups start fairly narrowly solving a particular niche problem. As they grow, the goal is to tackle adjacent use cases or vertical sectors using the same technology they started with. Neha Bajwa, the Vice President of Product Marketing at Neo4j, takes us behind the scenes as we delve into the details of how her company successfully unlocked a new use case expanding into the world of generative AI (GenAI). This week, episode 49 of the FiredUp! podcast is about unlocking new use cases!
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In this episode of the FiredUp! podcast, Neha Bajwa shares the challenges and successes Neo4j experienced when entering into a new market with their graph database company and things to keep in mind as you explore new use cases with your own technology.
Neha Bajwa is the Vice President of Product Marketing at Neo4j, a graph database that has tackled an adjacent market in generative AI. She has over 20+ years of experience as a marketing leader in product marketing, partner marketing, and field marketing.
Neha and Morgan discuss:
- How Neo4j, a company traditionally used for supply chain optimization, fraud detection, investigative journalism, and customer experience found a new use case in GenAI.
- Neo4j’s strategic approach to messaging, campaigns, and community engagement to position their technology for GenAI.
- Leveraging existing customer relationships and internal champions to drive the adoption of the new use case.
- The challenges faced and lessons learned while stepping into the rapidly evolving landscape of GenAI.
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