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Unlocking New Use Cases with Neha Bajwa

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Manage episode 434406540 series 3511536
Innehåll tillhandahållet av Firebrand. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Firebrand eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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!

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

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.

CONNECT WITH NEHA BAJWA:

LinkedIn

Neo4j

CONNECT WITH FIREBRAND:

LinkedIn

Work with Firebrand

LINKS MENTIONED:

Nonviolent Communication by Marshall B. Rosenberg PhD

Send us a text

  continue reading

Kapitel

1. Unlocking New Use Cases with Neha Bajwa (00:00:00)

2. Using graph databases for finding hidden patterns in data and connecting different data points. (00:00:00)

3. The importance of messaging in product marketing. (00:11:36)

4. Leveraging existing customers for new AI use cases. (00:16:09)

5. Two marketing horizons: campaigns for long-term awareness and quarterly efforts to increase close rates. (00:21:27)

6. Challenges and opportunities in messaging and positioning for a startup in the knowledge graph space. (00:25:04)

7. Competitive analysis for graph databases in the AI market. (00:28:35)

8. Positioning graph database technology in the market. (00:33:40)

9. Fired Up Five Segment (00:40:59)

61 episoder

Artwork
iconDela
 
Manage episode 434406540 series 3511536
Innehåll tillhandahållet av Firebrand. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Firebrand eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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!

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

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.

CONNECT WITH NEHA BAJWA:

LinkedIn

Neo4j

CONNECT WITH FIREBRAND:

LinkedIn

Work with Firebrand

LINKS MENTIONED:

Nonviolent Communication by Marshall B. Rosenberg PhD

Send us a text

  continue reading

Kapitel

1. Unlocking New Use Cases with Neha Bajwa (00:00:00)

2. Using graph databases for finding hidden patterns in data and connecting different data points. (00:00:00)

3. The importance of messaging in product marketing. (00:11:36)

4. Leveraging existing customers for new AI use cases. (00:16:09)

5. Two marketing horizons: campaigns for long-term awareness and quarterly efforts to increase close rates. (00:21:27)

6. Challenges and opportunities in messaging and positioning for a startup in the knowledge graph space. (00:25:04)

7. Competitive analysis for graph databases in the AI market. (00:28:35)

8. Positioning graph database technology in the market. (00:33:40)

9. Fired Up Five Segment (00:40:59)

61 episoder

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