Lecture on Integrating ChatGPT into Business Contexts

Welcome and Introduction

Speaker: Nate from ChatGPT for Business Product Team
Focus: Integrating organization's unique work context into ChatGPT
- Connecting internal knowledge sources
- Respecting user permissions
- Ensuring data privacy and security

Purpose: Enhance research and everyday queries
Example: AGI Corp, a fictitious company
- Launched "Animal GPT" models (e.g., bark to text, meow to text)
Demonstration of using connectors:
- Deep Research feature to explore potential distribution partnerships
- Connects to apps like GitHub, Gmail, HubSpot, Outlook, SharePoint, Teams
- Automates complex queries across multiple data sources
- Saves time and extends capabilities, especially for unfamiliar data sources

Purpose: Capture spoken meeting information
Available on Mac OS desktop app
Generates structured meeting outputs with key points and action items
Example: Q3 planning session for AGI Corp
- Enables recalling information and creating leadership updates

Use of Deep Research for synthesizing information
- Example query on upcoming partnerships
- Cross-referencing with different applications
Use of Enterprise Knowledge in ChatGPT
- Summary generation
- Data analytics (e.g., daily active users)
- Synthesis of user interviews and planning

Introduction of various connectors (e.g., Box, Dropbox, GitHub, Gmail, etc.)
Custom MCP (Model Context Protocol) Connectors:
- Allows admins to connect custom databases
- Example: Whisker DB
- Integration with ecosystem partners (e.g., HubSpot)

Introduction of flexible pricing plans
- Adding credits to enterprise and team workspaces
- Full access to advanced model features