expert.ai
- 6110 Executive Boulevard, Suite 690,Rockville, MD 20852,
- 2001
- 500
- Website
About
Expert.ai is the premier artificial intelligence platform for language understanding. Its unique hybrid approach to NL combines symbolic human-like comprehension and machine learning to transform language-intensive processes into practical knowledge, providing the insight required to improve decision making throughout organizations. By offering a full range of on-premise, private and public cloud offerings, expert.ai augments business operations, accelerates and scales data science capabilities and simplifies AI adoption across a vast range of industries.
Expert.ai's platform is based on the principle that every NLU technique does not fit all applications. Rather, organizations must mitigate their risk against the continued development of the AI market. Thus, they formed a hybrid platform that bundles symbolic AI with machine learning (ML) or deep learning (DL) techniques to ensure maximum performance for each use case. This is based on an open architecture to ensure it integrates with new algorithms, techniques, and language models.
Areas of expertise
Published content
Something About AI Still Doesn’t Feel Right
Something About AI Still Doesn’t Feel Right
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action