Automate
❯
Optimize System
❯Computer Vision - Emotion Recognition
Inventory Management & Forecasting - Capacity Planning
For:
Inventory planners.
Scope:
Meeting increased demand for timely spare part delivery at a luxury car manufacturer using Machine Learning to identify service patterns.
Goal:
Improved Customer Experience, Improve Operation Efficiency, Reduce costs
Supply Chain Optimization
For:
Supply chain managers
Goal:
Improve Operation Efficiency, Reduce costs
Large Companies
Knowledge representation and Knowledge Graphs
For:
Inventory planners.
Scope:
Using Knowledge Graphs to hamonize data models for warehouse and production sites across 5 continents.
Goal:
Improve Operation Efficiency
Other
Computer Vision - Image Segmentation
For:
Farmers
Scope:
Using image processing to implement a livestock monitoring application.
Goal:
Improved Operation
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
Large Companies
Audio Signal Processing - Speech Analysis
For:
Call center managers
Scope:
Using speech analytics to improve customer experience.
Goal:
Improved Customer Experience
Large Companies
Computer Vision - Emotion Recognition
For:
Video content creators.
Scope:
Using Computer Vision and Deep Learning for measuring emotional responses to video advertising content.
Goal:
Increase Revenues
Large Companies
Human resources - Federate the team
For:
HR professionals.
Scope:
Using Artificial Intelligence (AI) to identify ideal candidates, decrease hiring time and improve employee retention.
Goal:
Improved Customer Experience
Large Companies
Computer Vision - Emotion Recognition
For:
Video content creators.Goal:
Increase RevenuesProblem addressed
Purchasing descisions are often based upon emotions. Advertisers are interested in creating video content that invokes an emotional response in consumers. The challenge is how to measure the quality of created video content in terms of user's emotional response to ensure that it is as engaging as possible. To do this not only involves recognising emotions but also correlating it with engagement metrics such as social media actions.
Scope of use case
Using Computer Vision and Deep Learning for measuring emotional responses to video advertising content.
Live Video
AI: Perceive
Emotion Recognition
AI: Understand
Optimize System
AI: Act