LLM Pitch Session - Technical Customer Experience and Effective Communication

Published on ● Video Link: https://www.youtube.com/watch?v=yIVoJoBOcvU



Duration: 23:27
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Summary
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Chandan Maruthi discusses the problem of technical customer experience teams not effectively using support AI tools and presents a solution. He also talks about the market opportunity, the company's vision, target customers, go-to-market strategy, and the process of ingesting data. Moien Giashi, Amir Feizpour, and Chandan Maruthi also discuss effective communication in pitch decks and provide recommendations.

Topics:
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Technical Customer Experience
* Technical customer experience teams face challenges in effectively using support AI tools
* The company aims to provide a solution that meets the specific needs of these teams
* The solution consists of three pillars of data: public and private data from customers, a data marketplace, and synthetic data
* The vision is to build a vertically integrated stack with a semantic case layer and APIs for embedding into customers' ecosystems
* Live customers include Basis Technologies, Visible Hand, MedTech Platform, Trade Builder Card, and Personal Perspect
* Target customers are VP of Customer Success at tech companies, particularly in the dev tools and vertical SAS space
* Go-to-market strategy includes proper enterprise sales process for customers with a value exceeding $10,000 and leveraging distribution channels for customers below that threshold
* The process of ingesting data, training applications, and hosting data on the platform was demonstrated
* Integration process takes about a month for large enterprise customers and minutes for smaller customers using the self-serve model
* Raising money to launch capabilities through a Zendesk app exchange
Effective Communication in Pitch Decks
* Clear and concise communication is important in pitch decks
* Strike a balance between promoting ideas and providing justifications
* Find a balance between promotive and preventive communication
* Be selective with the information included in the pitch deck
* Consider creating a separate appendix deck for additional details
* Include detailed product roadmap and future plans in the data room







Tags:
deep learning
machine learning