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Automate

Automate Process

Education - Smart Learning Content

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
General Public

Education - Smart Learning Content

For:
Online course creators and online learners.
Goal:
Improved Employee Efficiency
Problem addressed
Even when course content is available, developing an online course through a learning management system (LMS) or Learning Experience Platform (LXP) still requires a lot of upfront work in order to create a compelling and engaging learning experience for students.
 
End users increasingly demand varied content. With fixed content, learning paths, goals, and curriculums learners can become disengaged, lacking motivation without the necessary stimulus. The challenge for course creators is to meet these expectations in an efficient way.
Scope of use case
Empowering course creators to focus on complex decision-making and creativity with Computer Vision and Natural Language Processing.
Description
Computer Vision (CV) and Natural Language Processing (NLP) techniques can be used to create new learning content from existing material. CV can be used to detect if documents contain text, tables or images, while NLP can be used to generate questions about the content, along with the corresponding answers and other false distracting options.
 
Smartest, a Swiss company providing a platform for designing interactive learning modules, does just that. With their tooling it is possible to create exercises such as multiple choice, true/ false, fill the gaps, flashcards and cross word puzzles, saving course creators large amounts of time.
 
Smartest believe that AI is a supporting technology, for repetitive and tedious tasks that will elevate users to focus on higher order tasks requiring complex decision making and creativity1.
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Image
Live Video
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Computer Vision
Machine Learning
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Automate Process
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