Part 8/11:
Generative AI's rise necessitates adaptable platforms capable of handling multiple protocols, tools, and cloud environments. Whether on AWS, Azure, GCP, or hybrid setups, the platform must:
Be nimble and simple to operate.
Support diverse algorithms, frameworks, and APIs (like ChatGPT or proprietary models).
Facilitate quick integration, scaling, and monitoring.
The vision is to build an ecosystem where AI and data layers are seamlessly integrated, reducing manual effort, accelerating innovation, and supporting diverse use cases—from chatbots to real-time analytics.
Use Cases Demonstrating the Future of Data Platforms
Two illustrative use cases underscored the potential of intelligent, real-time data platforms: