TECH OFFER

Automated Extraction and Processing of Text for Business Insights

KEY INFORMATION

TECHNOLOGY CATEGORY:
Infocomm - Big Data, Data Analytics, Data Mining & Data Visualisation
Infocomm - Artificial Intelligence
Show more >
TECHNOLOGY READINESS LEVEL (TRL):
LOCATION:
Singapore
ID NUMBER:
TO140996

TECHNOLOGY OVERVIEW

The company has developed an AI technology to process big data. The technology is based on machine learning or Natural Language Processing (NLP) techniques. 

Structured or unstructured textual data sources can be processed with analytical modelling to derive actionable insights.

Their models achieve the above claims by automatically reading, extracting and classifying large amounts of text.

TECHNOLOGY FEATURES & SPECIFICATIONS

The company is able to customise this AI technology according to clients' unique requirements. 

There are three broad components to each custom build:

Data sources

  • Customised AI models can be co-developed for application to new data sources such as websites, public corporate data, exchange filings, news, or private archives.

AI topics that require tracking and monitoring

  • ​​​​​With AI models that have had a large pool of corporate data to learn from, the company is able to train custom machine learning models to pick up on business and financial topics such as financial distress, disruptions, and regulatory actions – as well as more industry-specific ones.

Dashboard experience

  • ​​​​​​​For use cases where clients request for specific customisation of front-end experience, to fulfil organisation needs.
  • Users are able to create real-time alerts to get quality insights.

POTENTIAL APPLICATIONS

Some use cases of the company's AI technology

  • Client or competitor monitoring
  • Discovery and research of investment, business or partnership opportunities in target markets
  • Processing real-time customer feedback
  • Processing internal emails and other documents for sensitive content
  • Retrieving past documents

Benefits

Through the application of such NLP technology, clients will be able to transform their data into accessible and real-time insights. Due to the company's existing technology base and expertise, they are able to shorten the development cycle for co-development and customisation efforts.

The final business intelligence platform will allow for the clients' analysts to focus on analyses and decision making, rather than information gathering.

This will benefit potential clients by improving the speed of their decision making and response to dynamic business/industry environments.

As part of the support, clients will be able to reach out to the company's in-house team for training and optimisation of their customised AI models.

RELATED TECH OFFERS
Emotion Recognition AI for Extraction of Concealed Feelings
Visual 3D Positioning & Mapping System for Autonomous Vehicles and Robots
Accelerated Materials Innovation Platform for Sustainability
Real Time, All-day, Stress Monitoring System Using Data Science
AI-Based Medical Imaging Assistant For Breast Cancer Screening
Chatbot Training Platform
Improving Explainable Artificial Intelligence For Degraded Images
Enhancing Construction Safety and Productivity with Video Analytics
Smart Manufacturing Video Analytics via CCTV
Smart Buildings Video Analytics via CCTV