AI Solution

AI Solution

1. Text Analytics & NLP

   • Text analytics and natural language processing (NLP) tools are used to understand and interpret typed text and whole documents. They classify words and parts of speech, apply a combination of linguistic rules and NLP using statistical methods, and analyze relationships across an entire corpus.

2. Machine Learning Platforms

   • Machine learning platforms provide algorithms, APIs, development and training toolkits, data, and computing power to design, train, and deploy models into applications, processes, and other machines.

3. Intelligent Recommendation Solutions

   • Intelligent recommendation solutions are beginning to proliferate due to their ability to mimic human decisioning in making product choices. Traditional recommendation engines use collaborative filtering or market-basket analysis to make predictions about an individual based on the behaviors of a group.

4. Conversational Service Solutions

   • Conversational service solutions act as customer service agents, using natural language processing and machine learning to understand and address individual customer service issues. Intelligent customer service solutions often provide a conversational interface that’s typically text-based but may include voice or image as well — which allows users to engage through natural language.

5. Intelligent Research Solutions

   • Intelligent research solutions leverage natural language processing, machine learning, and in some cases natural language generation to discover insights that help inform marketing, sales, product development, customer service, or compliance.

6. Speech Analytics

   • Speech analytics comprises tools that understand and interpret the spoken word. Typically, these technologies consist of three pieces: acoustic speech recognition, which “hears” speech; speech-to-text transcription; and text analytics, which understands the text.

7. Image and Video Analysis & Facial Recognition

   • Image and video analysis allows CI pros to analyze unstructured data to help them better understand customer behavior. Facial recognition is a type of biometric software application that can identify a specific individual in a digital image by analyzing and comparing facial patterns.

8. Biometrics

   • Biometrics technologies enable more naturalistic interactions between humans and machines, including but not limited to image and touch recognition, speech, and body language.

9. Natural Language Generation

   • Natural language generation (NLG) comprises tools and technology that use advanced modeling to produce human-readable text, usually from a corpus of responses or composed from defined textual components.