Automate

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Automate Process

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Precision Farming as a Service

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

Precision Farming as a Service

For:

Farmers

Goal:

Anticipate Risks, Improve Operation Efficiency

Problem addressed

The use case shows how AI is contributing to modernization of the agriculture

industry.

Scope of use case

Use visual recognition to identify and help fight parasites attacking organic farms.

Description

BioBotGuard main goals are to cut the use of phytosanitary

treatments to contain the environmental health risk by

estimating the probability of incubation and development of

plant diseases or harmful insect attacks and anticipate

treatments. BioBotGuard monitors microclimatic conditions

with high accuracy measurement and prediction models to

optimize irrigations.

From the technology point of view, it employs: AgroDrones

to patrol and map the culture field. They are equipped with

20Mx high-resolutions cameras to capture in real-time

images. On the back end, the drone sends data to a computer

vision API for image classifications and pattern detections.

Among other things, the system is able to detect harmful

insects and build a georeferenced risk map of the crop.

As a result, bioBotGuard can help AgriFood producers to

change the cost structure of the industry by requiring less

water and less treatment, as well as a significant reduction in

labour costs.

Live Video

IOT

Computer Vision

Automate Process

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