The opportunities provided by conversational bot systems go far beyond giving responses to customers’ inquiries. They are also used for other business tasks, like collecting information about users, helping to organize meetings and reducing overhead costs.
Smart bots rely on artificial intelligence when they communicate with users. Instead of pre-prepared answers, the bots responds with adequate suggestions on the topic. This enables customers to self-serve on their terms, using their language. On the other side smart assistants decrease the burden that is placed on your staff and enable them to handle higher impact problems and requests.
Proper implementation will assure delivering information and services with a consistent, on-brand, and engaging experience.
Integration with line-of-business systems provides actionable insights bot to the business and the ultimate bot users.
Based on the IBM Watson Assistant framework the smart assistants we build and deliver are designed for mission-critical operations observing:
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Your training data and insights are your own. As your models gain value, you maintain ownership of your data.
Ensure additional reliability and control with dedicated, isolated containers for your data storage and software runtime.
Establish an even more secure channel of communication between your app and Watson Assistant through mutually authenticated SSL certificates.
Behind the firewall
For complete control and isolation, install Watson Assistant in your own data center on IBM Cloud Private.
- Speech to text
- Text to speech
- Natural Language Understanding (NLU)
- Tone analyzer
- API based integrations