20240054235. SYSTEMS AND METHODS FOR ENCRYPTING DIALOGUE BASED DATA IN A DATA STORAGE SYSTEM simplified abstract (BANK OF AMERICA CORPORATION)
SYSTEMS AND METHODS FOR ENCRYPTING DIALOGUE BASED DATA IN A DATA STORAGE SYSTEM
Organization Name
Inventor(s)
Dalydas Karanath of Thrissur (IN)
Syed Najumudeen of Hyderabad (IN)
Radhika Vinaikrishnan Nair of Thane (IN)
SYSTEMS AND METHODS FOR ENCRYPTING DIALOGUE BASED DATA IN A DATA STORAGE SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240054235 titled 'SYSTEMS AND METHODS FOR ENCRYPTING DIALOGUE BASED DATA IN A DATA STORAGE SYSTEM
Simplified Explanation
The invention is a platform for analyzing, classifying, extracting, and processing information from audio file recordings between a customer and an agent of an entity. It uses an image-based encryption method and a cognitive neural engine to segment audio files according to speaker and generate contextual inferences regarding user preferences and agent performance.
- The platform analyzes, classifies, extracts, and processes information from audio file recordings.
- It uses an image-based encryption method and a cognitive neural engine.
- The platform segments audio files according to speaker.
- It generates contextual inferences regarding user preferences and agent performance.
Potential applications of this technology:
- Call center analytics: The platform can be used to analyze and evaluate customer-agent interactions in call centers, providing insights into agent performance and customer preferences.
- Customer experience improvement: By analyzing the audio recordings, the platform can identify areas for improvement in customer service and help companies enhance the overall customer experience.
- Training and coaching: The platform can be used to identify training needs for agents and provide coaching based on the analysis of their interactions with customers.
Problems solved by this technology:
- Manual analysis: The platform automates the analysis of audio file recordings, saving time and resources compared to manual analysis.
- Speaker segmentation: The platform accurately segments audio files according to speaker, making it easier to analyze individual interactions.
- Contextual understanding: By generating contextual inferences, the platform provides a deeper understanding of customer preferences and agent performance.
Benefits of this technology:
- Efficiency: The platform automates the analysis process, increasing efficiency and reducing the time required for analysis.
- Accuracy: The image-based encryption method and cognitive neural engine ensure accurate segmentation and analysis of audio files.
- Insights: The platform provides valuable insights into customer preferences and agent performance, enabling companies to make data-driven decisions for improvement.
Original Abstract Submitted
embodiments of the invention are directed to systems, methods, and computer program products that provide a unique platform for analyzing, classifying, extracting, and dialogue information from audio file recordings between a customer and an agent of an entity. in particular, the novel present invention provides a unique platform for analyzing, classifying, extracting, and processing information from call recordings using an image-based encryption method and cognitive neural engine in order to segment audio files according to speaker, and later analyze recording information to generate contextual inferences regarding user preferences and agent performance.
