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❯Loan in 7 minutes
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
AI virtual assistant for customer support and service
For:
Customer service department
Scope:
Customer support service, product and service consulting.
Limitations - support for dialogs exclusively within MTS products.
Target audience - b2b, b2c clients of MTS Russia.
Goal:
Other
AI contract management
For:
Procurement department, legal department
Scope:
Building an AI contract management solution for automating business processes
related to documents: data classification, automatic data extraction and contract
monitoring.
Goal:
Other
Large Companies
Small Companies
Human Resources - Employee Performance Assessment
For:
Line managers.
Scope:
Creating an insight report for managers carrying out employee performance reports using Text Mining.
Goal:
Improved Employee Efficiency
Virtual bank assistant
Scope:
Use of advanced chatbots and dialogue systems to automatize part of call centre activities.
Goal:
Improved Employee Efficiency, Improved Customer Experience
General Public
Entertainment and Media - Search Optimization
For:
End consumers of news stories.
Scope:
Optimizing search using Machine Learning and Natural Language Processing to improve relevancy and presentation of results.
Goal:
Improved Customer Experience
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
Loan in 7 minutes
For:
Customers
Scope:
A completely automated solution that analyses customer behaviour and makes the best loan offers for the customer.
Goal:
Improved Customer Experience, Improved Employee Efficiency
Large Companies
Small Companies
Legal - Automated Legal Review
For:
Legal Associates and Paralegals.
Scope:
Supporting human analysis of legal documents using automated Document Classification and Information Extraction.
Goal:
Improve Operation Efficiency, Improved Operation
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
Tax rules updates and classification
For:
Investment firm
Scope:
Build an AI solution that identifies updates on tax laws and classifies them.
Goal:
Other
Procurement - Supplier Selection and Evaluation
For:
Procurement Managers
Scope:
Creating efficiencies in supplier selection using Intelligent Search technologies.
Goal:
Improved Employee Efficiency
Large Companies
Retail - Customer Sentiment Analysis
For:
Retail managers, executives, marketeers and branding specialists.
Scope:
Understanding consumer sentiment towards national grocery chains in South Africa using Natural Language Processing.
Goal:
Improved Customer Experience
WebioMed clinical decision support system
For:
End-users (physician, nurse, laboratory technologist, pharmacist, patient)
Sales and marketing team
CDSS product development and maintenance team (system administrator,
system developer, system architect, project manager, and system
maintenance)
Scope:
Screening for cardiovascular disease risk prediction with machine and deep
learning methods
Goal:
Other
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
Small Companies
Legal - Contract Analysis
For:
Legal Associates and Paralegals.
Scope:
Using natural language processing to aid contract analysis by creating efficiencies for reviewers.
Goal:
Improved Employee Efficiency, Reduce costs, Improve Operation Efficiency
Loan in 7 minutes
For:
CustomersGoal:
Improved Customer Experience, Improved Employee EfficiencyProblem addressed
Create lending products for clients of medium and large businesses (LMB) with
the shortest delivery time possible, taking into account the extremely detailed
customer profile.
Scope of use case
A completely automated solution that analyses customer behaviour and makes the best loan offers for the customer.
Description
If the client requires a loan, he fills out a short form in the
banks online system to reflect the recent changes in the
business. As soon as the client provides the necessary
information the solution kicks in.
It interacts with the internal (e.g. transactional data) and
external (e.g. credit bureaus) systems, collects all detailed
information about the client, applies algorithms based on
artificial intelligence and machine learning methods,
automatically performs risk estimation and calculates
appropriate offers for the client.
The client chooses the appropriate lending terms. The
solution calculates the interest rate, generates an electronic
version of credit documentation and sends it to the client via
the web interface.
Along with the terms of the loan, a list of legal documents that
are expected to be received from the customer for the deal to
succeed is formed. The function of a legal officer is performed
automatically by the Robot Lawyer, which does the same set
checks on client documents as a human lawyer in a standard
credit process would do.
The client signs the documentation using his electronic
certificate. The signature applied has full legal force and may
be verified automatically by a certificate authority.
The loan conditions chosen by the client are reflected in the
banks internal accounting system.
The speed of the decision making on a loan application in the
solution is unprecedented and it is an important step in the
development of corporate lending in Russia for the LMB
segment.
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AI: Perceive
NLP
AI: Understand