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Description
Leverage artificial intelligence to challenge conventional business thought processes, delivering precise industry insights with high efficiency and reduced operational costs, thus facilitating the digital transformation of organizations. This approach includes capabilities for knowledge extraction and the creation of knowledge graphs and ontologies through unsupervised learning techniques. By effectively mining and analyzing extensive datasets, alongside utilizing established industry knowledge and natural language processing skills, the traditional reliance on human-driven knowledge engineering can be automated, leading to significant enhancements in the efficiency of constructing knowledge maps while lowering the barriers to their creation. Furthermore, a fully proprietary automatic speech recognition (ASR) and text-to-speech (TTS) model, paired with self-gathered training data and state-of-the-art speech recognition algorithms, along with an industry-leading natural language understanding (NLU) model, fine-tunes performance across various business contexts. This comprehensive training platform is designed to facilitate entirely bespoke training tailored to specific verticals, ensuring that businesses can meet their unique challenges effectively. Such innovations not only streamline processes but also empower enterprises to adapt swiftly to changing market demands.
Description
Graphs represent one of the most adaptable formal data structures, allowing for straightforward mapping of various data formats while effectively illustrating the explicit relationships between items, thus facilitating the integration of new data entries and the exploration of their interconnections. The inherent semantics of the data are clearly defined, incorporating formal methods for inference and validation. Serving as a self-descriptive data model, knowledge graphs not only enable data validation but also provide insights on necessary adjustments to align with data model specifications. The significance of the data is embedded within the graph itself, represented through ontologies or semantic frameworks, which contributes to their self-descriptive nature. Knowledge graphs are uniquely positioned to handle a wide range of data and metadata, evolving and adapting over time much like living organisms. Consequently, they offer a robust solution for managing and interpreting complex datasets in dynamic environments.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Emotibot
Founded
2015
Country
China
Website
www.emotibot.com/technology/index.html
Vendor Details
Company Name
TopQuadrant
Country
United States
Website
www.topquadrant.com
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management