Definitions, characteristics and application of the legislation
Reduce errors, save time, and lower the cost of manual approaches
Find the ‘signal through the noise’ and deliver actionable insights and recommendations
Classify documents and extract data needed to automate language-intensive processes
Get the highest degree of accuracy, explainability, and flexibility using a combination of symbolic and machine learning approaches
Purpose-built workflow to support the design, testing, and deployment pipeline of natural language applications
Ready to use out of the box, and easily customized, text analytics understanding using a knowledge graph with the specific domain or business terms and entity relationships required to provide customized insights and improve the quality and accuracy of results
Consolidate natural language tools and minimize technical debt by building and deploying a single, comprehensive natural language platform across your organization
Reduce risk, improve win rates, and increase capacity for commercial insurance carriers and brokers
Improve the process of content creation and enrichment as well as augment manual processes and workflows
AI augments decision making, brings efficiency to back office processes and accelerates the application of knowledge-based RPA