DEFINITION
Unified AI is the idea of combining various elements of Artificial Intelligence within an intelligent system to reduce fragmentation. This can cover machine learning models, generative AI, data analytics, automation, governance and AI in an enterprise setting. This will help improve the AI adoption process and collaboration, improve security and improve overall management of your AI. However, Unified AI is a very open term and doesn’t refer to a particular architecture of AI.
Why is Unified AI important?
- Bring together multiple AI tools/technologies
- Simplifies complexity of multiple technologies
- Centralizes AI governance
- Improve collaboration between business and technical teams
Unified AI use cases
- Managing multiple AI models within a single platform
- Connecting enterprise data to AI applications
- Automate processes across business teams
- Centralize AI Security & Governance
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