Summary of Why Real-Time Data is Crucial to Developing Generative AI Models
The video discusses the critical role of real-time data in developing generative AI models, particularly within AI-first companies focused on supply chain management. Key technological insights include:
- Real-Time Data Integration: Real-time data is essential for timely decision-making in AI-powered applications, especially in supply chain contexts.
- Native Connectors and Integration: The platform (referred to as "confident") offers native connectors built into data clusters, eliminating the need for custom coding or maintenance of connectors. This seamless integration supports smooth data ingestion.
- Compatibility with AI Services: The system integrates natively with Azure OpenAI services and other GPT models, enabling AI functionalities only when the right data infrastructure is in place.
- generative AI for Custom Rules: Customers can create their own rules using natural language input (English) via a chatbot interface, enhancing user interaction and customization.
- data streaming and Delivery Pipelines: Efficient data streaming and delivery pipelines ensure fast data availability, allowing AI models to understand user context effectively.
- Contextual Chat-Based Services: All incoming data passes through the confident platform, enabling contextual, chat-based customer services that improve problem-solving and user experience.
- Developer Efficiency: The solution aims to save developer time by reducing the need for connector management, allowing developers to focus on core feature development and improving overall developer experience.
Main Speakers/Sources:
- Representatives from an AI-first supply chain company discussing their use of the "confident" platform.
- Mentions of integration with Azure OpenAI and GPT models.
Notable Quotes
— 00:41 — « All of this is enabled for AI only if we have the right data in place and that's where confident really helps us out. »
— 00:45 — « We are bringing in generative AI where our customers can build their own rules just by typing in English. »
— 01:13 — « For us all four combined we're able to provide this contextual chat based service for our customers and that's really helpful for them for solving the day-to-day problems that they have. »
— 01:21 — « It's a huge Plus for our customers, it's a huge Improvement in terms of user experience and customer experience in terms of a customer CID course as well. »
— 01:26 — « The goal is save developer time and the experience for the developers and they can focus on their core feature delivery. »
Category
Technology