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EP. 259 AI-Powered Customer Insights: Boosting Lifetime Value with MongoDB & Generative AI
Manage episode 472343893 series 2637189
🔥 How can AI transform customer retention and drive revenue growth? In this episode of The MongoDB Podcast, join host Shane McAllister and Samir Agarwal, Chief Product Technology Officer at Agmeta, as they dive into the future of AI-driven customer insights. Discover how Agmeta leverages MongoDB Atlas Vector Search and cutting-edge AI tools to predict churn, personalize customer experiences, and unlock hidden value in customer interactions.
🔹 Key Takeaways:
Why traditional customer surveys fail—and how AI extracts real-time insights from calls, chats, and transcripts.
The role of sentiment analysis and vector search in identifying high-risk churn candidates.
How generative AI creates actionable recommendations to retain customers and boost upsell opportunities.
Real-world demo: See AI transform unstructured data into a visual dashboard for instant decision-making.
Why MongoDB’s flexibility makes it the go-to database for AI/ML workflows.
🔹 Perfect For:
Developers and data engineers building AI-powered customer solutions.
Product leaders focused on retention, lifetime value, and reducing churn.
Startups exploring AI/ML tools (shoutout to the MongoDB Startup Program!).
👉 Subscribe for more episodes on AI, databases, and scaling tech stacks!
TAGS: #AI #CustomerInsights #MongoDB #AtlasVectorSearch #ReduceChurn #GenerativeAI #CustomerLifetimeValue, #SentimentAnalysis #StartupProgram #Agmeta
265 episoder
Manage episode 472343893 series 2637189
🔥 How can AI transform customer retention and drive revenue growth? In this episode of The MongoDB Podcast, join host Shane McAllister and Samir Agarwal, Chief Product Technology Officer at Agmeta, as they dive into the future of AI-driven customer insights. Discover how Agmeta leverages MongoDB Atlas Vector Search and cutting-edge AI tools to predict churn, personalize customer experiences, and unlock hidden value in customer interactions.
🔹 Key Takeaways:
Why traditional customer surveys fail—and how AI extracts real-time insights from calls, chats, and transcripts.
The role of sentiment analysis and vector search in identifying high-risk churn candidates.
How generative AI creates actionable recommendations to retain customers and boost upsell opportunities.
Real-world demo: See AI transform unstructured data into a visual dashboard for instant decision-making.
Why MongoDB’s flexibility makes it the go-to database for AI/ML workflows.
🔹 Perfect For:
Developers and data engineers building AI-powered customer solutions.
Product leaders focused on retention, lifetime value, and reducing churn.
Startups exploring AI/ML tools (shoutout to the MongoDB Startup Program!).
👉 Subscribe for more episodes on AI, databases, and scaling tech stacks!
TAGS: #AI #CustomerInsights #MongoDB #AtlasVectorSearch #ReduceChurn #GenerativeAI #CustomerLifetimeValue, #SentimentAnalysis #StartupProgram #Agmeta
265 episoder
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