What is Interoperability in an AI workplace?
Interoperability in AI refers to the ability of different AI systems, components, or datasets to work together seamlessly. It involves creating standards and protocols for easy data exchange and integration between various AI tools and platforms.
Benefits of Interoperability
- Enables integration of diverse AI tools and systems
- Facilitates data sharing and collaboration across teams
- Reduces data silos and improves overall efficiency
- Supports scalability and flexibility in AI implementations
- Enhances the value of existing AI investments