Unlock Natural Language Value: 3 Keys for Success
Combining symbolic and machine learning methodologies, knowledge models, and language-specific tooling can help companies achieve more than 80% accuracy from their NL projects.
Combining symbolic and machine learning methodologies, knowledge models, and language-specific tooling can help companies achieve more than 80% accuracy from their NL projects.
Data took the center stage in 2021, but you can expect more of everything related to language data in 2022.
Companies are repositioning themselves by expanding capabilities to increase audience engagement. Diversification is now key to creating additional revenue streams, but as media and information services companies acquire more assets, they must find better ways to manage and fully utilize their content and generate new revenue streams.
Examine the core use cases enabled by a hybrid approach that can bring immediate value to your organization.
Machine learning and symbolic AI have long been considered the only viable approaches to natural language understanding…until hybrid came along.
Discover the core criteria you should consider when evaluating a natural language understanding approach, no matter the business case.
Unstructured language data presents an immense challenge and unique opportunity to the enterprise. See how a hybrid approach can help you capitalize on it.