Automate
❯
Automate Process
❯Procurement - Cost Analysis
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
Procurement - Cost Analysis
For:
VP Global Supply Chain Management, Category ManagersGoal:
Reduce costs, Improved Employee EfficiencyProblem addressed
Organizations are constantly looking to optimize costs to impact their bottom line. By analyzing spend, companies can identify savings opportunities, streamline operations, manage risks and improve supplier performance.
One of the biggest reasons spend analysis projects fail in large organizations is due to the complexity of classifying large dollar amounts of spend. The often incomplete and diverse sets of data associated with spend makes it labor intensive to classify correctly.
Scope of use case
Realizing operational efficiencies and working capital improvements through automated spend classification.
Description
Machine learning algorithms for classification of data are commonplace. Applying these algorithms trained on large amounts of historical spend data can alleviate the large amount of resources required to carry out spend classification by automating the process.
Pentair, a global leader in water, fluid, thermal management and equipment protection used Sievo, a machine learning enabled procurement analytics platform, to achieve over 90% accuracy in spend classification2. Overall, they were able to reduce the cycle time spent on spend analysis by category managers from weeks to minutes and realize $15m of working capital improvements through improved negotiations of payment terms using the tool.
Text
AI: Perceive
Machine Learning
NLP
AI: Understand
Automate Process
AI: Act