- TRUCAP+ (IDP)
- TRUBOT (RPA)
- TRAINING & CERTIFICATION
Datamatics TruAI Text uses Artificial Intelligence/Machine Learning (AI/ML), Natural Language Processing, and Statistical Techniques to analyze humongous amounts of data to derive intelligence. The TruAI Text engine is useful in data intensive industries, such as Banking, Financial Services, and Insurance, for automating their core processes.
Extract relevant information from unstructured data and free text and use it for process automation in downstream systems.
Improve the speed of analyzing multi-structured text and reduce turnaround time to a fraction of the time required for manual handling.
Use semantic searches for improving accuracy of text searches.
Group different data points in specific clusters with similarities. Segment customers, cluster search results, group images, etc.
Capture semantic and contextual meanings to build vocabulary and synonyms library. Create AI/ML models unique to your business processes. Generate recommendations.
Detect entities and contextual references from the text. Create new categories through self-learning and exception handling.
Use supervised learning to categorize and classify big data, files, and documents within fraction of the time required for manual handling. Learn about new patterns and categories.
Scrutinize documents within a stack and eliminate gaps. Reduce document scrutiny time from hours to seconds.
Identify and extract the key concerns from customer email, feedback, blogs, social media tweets, etc., for gaining customer-related insights.
Summarize lengthy documents and create executive summaries for attaching to agreements, contracts, NDAs, sales deeds, project documentation, etc. Use summaries for easy search and retrieval of documents.
Use AI/ML semantic searches to improve search accuracy through contextual inferences. Understand user intent through AI/ML contextual analysis of user queries.
Intelligently capture information from free text or unstructured text, including lengthy documents, reports, customer email, scanned reports, forms, etc.
Digitize information assets in free text paper-format and extract required information for downstream processing.
Perform AI/ML-enabled semantic translations. Conduct multi-lingual text mining.
Extract semantic relations from text with business-specific NLP powered models.
Build virtual assistants and chatbots for answering questions.
Automatically generate text in natural language to fufill communication requirements and answer user questions.
Identify nine different types of emotions in a text document, customer communication, social media tweets, audio-video files, etc.
Analyze social media comments and customer satisfaction based on AI/ML powered models.
TruAI Text or Artificial Intelligence Text Analysis analyses free form text or unstructured data with the help of AI/ML, Natural Language Processing (NLP), and Deep Learning models to extract crucial intelligence in seconds while it takes hours and days for the human eye. The ensemble starts with supervised learning and pre-defined business logic; however, its self-learning nature allows it to transition into unsupervised learning through handling mammoth amounts of unstructured data and exception handling. TruAI Text enables your business to scrutinize lengthy documents and document stacks within seconds to milliseconds thus improving turnaround time of many viable automation use cases. It enables you to extract the key topics and sentiments from lengthy text thus enabling your customer facing teams to resolve queries faster and improve customer satisfaction.
TruAI Text or Artificial Intelligence Text Analysis makes use of AI/ML, Natural Language Processing (NLP), and Deep Learning algorithms to extract data points from unstructured data or free text in a template-free mode. The in-built logic keeps on reinforcing with each document batch that is processed. The cognitive capture feature forms the basis of many automation use cases that use unstructured data as input to automating a solution in dynamic business environments, such as Trade Finance.
TruAI Text or Artificial Intelligence Text Analysis uses in-built algorithms to scrutinize lengthy documents received in an unstructured format. It not only enables extraction of the required data points from the documents but also validates key criteria used as Go/No-Go to fulfill a particular automation scenario. For example: Analyze the credit score of a particular entity before entering into a tripartite business transaction in Trade Finance.