Problems that solves
Low quality of customer service
High costs of routine operations
No automated business processes
No support for mobile and remote users
Low employee productivity
High costs of IT personnel
Failure to attract new customers
Low quality of customer support
Enhance Staff Productivity
Improve Customer Service
Increase Customer Base
Expand Sales Geography
Enhance Competitive Ability
Language Understanding (LUIS) is a machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve.
Add natural language to your apps
Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot.
Quickly build a custom language solution
Powerful developer tools are combined with customizable pre-built apps and entity dictionaries, such as Calendar, Music, and Devices, so you can build and deploy a solution more quickly. Dictionaries are mined from the collective knowledge of the web and supply billions of entries, helping your model to correctly identify valuable information from user conversations.
Always learning and improving
Active learning is used to continuously improve the quality of natural language models. Once the model starts processing input, LUIS begins active learning, allowing you to constantly update and improve the model.
Enterprise-ready, available worldwide
The service is ready to be deployed in commercial applications and can scale with enterprise quality and performance. The service meets international compliance standards, supports 13 languages and available worldwide, making it highly accessible around the world.
Roles of Interested Employees
Chief Executive Officer
Chief Information Officer
Chief Sales Officer
Web-based customer portal
Internet access is available for employees
Social networks are used