Automate
❯
Automate Process
❯Intelligent Document Processing Using AI
Large Companies
NLP - Text summarization
For:
Media Intelligence Analysts
Scope:
Using Abstractive Text Summarization to reduce analysis costs for media monitoring.
Goal:
Improve Operation Efficiency
Intelligent Document Processing Using AI
For:
Government & public entities
Government departments
AI-Based Solid Waste Classification
For:
Government Municipal Corporations, Solid Waste Management Companies
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
For:
Content creators
Scope:
Creating efficiencies for content creators via automatic subtitle creation for social video.
Goal:
Improved Employee Efficiency
Large Companies
Small Companies
Improve Business Decision
For:
Credit controllers
Scope:
Using Machine Learning to automate the assessment of creditworthiness for loan applicants at a bank.
Goal:
Improve Operation Efficiency, Increase Revenues
Intelligent Social Listening
For:
Local authorities, Government agencies
Automated Quality Assurance
For:
Quality Engineers
Large Companies
NLP - Machine translation
For:
Translation Managers and Translators.
Scope:
Using Machine Translation to scale content production and create a more streamlined and efficient translation process.
Goal:
Improve Operation Efficiency, Automate a Business Process
Procurement - Cost Analysis
For:
VP Global Supply Chain Management, Category Managers
Scope:
Realizing operational efficiencies and working capital improvements through automated spend classification.
Goal:
Reduce costs, Improved Employee Efficiency
How ML Can Improve Churn Prediction to Retain More Revenue for Insurers
For:
Portfolio Managers
Customer Retention
Goal:
Improved Operation
From Weeks Down to Hours: How insurers innovate with AI to shorten claims processing time and improve customer experience
For:
- Claims Management
- Customer Experience.
Goal:
Improved Customer Experience
General Public
Education - Smart Learning Content
For:
Online course creators and online learners.
Scope:
Empowering course creators to focus on complex decision-making and creativity with Computer Vision and Natural Language Processing.
Goal:
Improved Employee Efficiency
Large Companies
Accounting and Finance - Improve Profitability Reports
For:
Financial analysts
Scope:
Using Natural Language Generation to automate the production of commentary on profit and loss statements at a bank.
Goal:
Improved Employee Efficiency, Improve Operation Efficiency
Large Companies
Audio Signal Processing - Voice to text Conversion
For:
Lawyers and Judges
Scope:
Using Automatic Speech Recognition (ASR) to transcribe court case proceedings.
Goal:
Automate a Business Process
Precision Farming as a Service
For:
Farmers
Scope:
Use visual recognition to identify and help fight parasites attacking organic farms.
Goal:
Anticipate Risks, Improve Operation Efficiency
Autonomous Robot Improves Surgical Precision Using AI
For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation Efficiency
Large Companies
Small Companies
Accounting and Finance - Automate Invoices and Expense Management
For:
Financial Controllers
Scope:
Using Image Processing and Optical Character Recognition to create operational efficiencies through automation of expense approval and reconciliation workflows.
Goal:
Improved Employee Efficiency
Intelligent Document Processing Using AI
For:
Government & public entities
Government departments
Problem addressed
Government organizations operating in industries like commerce, education, energy, and health & human services frequently deal with a large number of papers.
To maintain the greatest levels of customer satisfaction, expedite customer onboarding, and reduce customer churn, it is essential to make decisions based on the vital information recorded in these papers on time.
Manually processing documents to extract information and insights is time-consuming, costly, prone to error, and challenging to scale.
Many businesses dedicate a dozen employees from various departments to fulfill the job of document imaging and data collection to process papers. Now the question arises how can an organization solve this issue and improve workflow efficiency?
Description
AI and machine learning techniques offer an intelligent solution by processing imaged documents to identify and extract key data from the forms and then route that data for either automated processing or human review.
Forms are received in a variety of formats and converted to images before the necessary data is extracted through a series of processing stages. Reviewers can inspect the outcomes of each processed image in queues where the results are pushed.
Alternatively, the system can also be configured for automated approval of those findings. The data is subsequently mapped into the core systems downstream, including the underwriting platform, policy admin, e-contracting, and claims systems, after receiving human or automated clearance.
It's crucial that the solution is entirely cloud-based for two reasons. First, since there is no official installation into the office infrastructure, it considerably reduced the implementation burden. Second, the use of machine learning techniques at the scale required access to significant computational power.
Automate Process
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