Artificial intelligence and machine learning technologies in bank processesSpeaker – Alexander Ozerov
Colvir Software Solutions
Colvir Software Solutions was established in Great Britain in year
2000 as a software company with its business focus in the development,
implementation and support of end-to-end integrated solutions designed to
automate the core business, financial and administration activities of banks,
post offices, other businesses and public finance institutions.
20 yearsin the Banking IT Market20
present in 20 Countries600+successfully Implemented Projects
14R&D Offices
450+employees
Colvir Lines of Business
Multichannel Support Core Banking Treasury
Corporatetreasury
ERP AnalyticalPlatform
Colvir CESB Colvir AI100+MODULES
AI in banking
AI use cases in 2020
Use case
AI solutions application
AI technology
AI basic elements
The AI Stack
Customer service Sales and marketing Fraud management Financial advisory KYC
Virtual assistants Cognitive automation Bots Industry
Expert SystemsFace and voice
recognition
Machine learning Deep learning Naturallanguage processing
Natural language generation
Facerecognition
Data and Analytics
Intelligent automation of functions such as payments reconciliation, and trade documents scrutiny
Operationalefficiency Customer service
Chat-bots and virtual assistants usage will bring tangible results in efficiency and costs cut.Hyper-personalized recommendations at scale on self-service channels based on data from bank, third-party channels, mobile usage pattern, and other sources
Fraud detection and Risk management
AI-based identity verification/user authentication applications such as “Smile to unlock” and “liveliness” checking will gather momentum Investment in AI, esp. machine learning and deep learning platforms for regulatory technology and cybersecurity will increase
AI&ML technologies in Enterprise
Data and ETL
Middleware
Languages
Colvir Banking System and AI&ML usage
17
35
26Colvir
BankingSystem
Colvir AMLAnti-money laundering
Colvir AICashflowCash flow forecast
Colvir Smart Management
Assignments and tasks distribution
Colvir AIChatbotIntelligent chat bot
Colvir AIProfileCustomer needs
determination
Colvir AIOpsInfrastructure failures
predictions
Colvir Employee AttritionEmployee termination forecast
4
Colvir AI ChatbotTool allowing to build high-level customer support
What is Colvir AI Chatbot
That’s a technology that allows bank to reduce the cost of customer support, as well as improve the quality and speed of services.
Technology is based on the Colvir AI Engine that allows to:
Accurately identify the context of the issue within client`s correspondence history
Automatically suggest a solution to the client's problem by requesting the necessary data
Send a question to specialists or to support if no suitable solution has been found
Colvir AI Chatbot
Colvir AI Chatbot
Users
Colvir AI Engine
Support Chat
L3
L2
L1
AutomaticProblem solving
IT Support Analytics
Support Issues Tracking SystemIT Support Levels
Colvir AI ProfileSelection of the best possible product for the client
What is Colvir AI Profile
Colvir AI Profile allows bank to offer a client the product that could be of potential interest to him.
Product selection is carried out by determining the similarity of the client's digital profile with the impersonal profiles of other bank clients.
Colvir AI Profile
Colvir AI Profile
DataUsers cluster
Product 1Product 2Product 3Product 4
Product 5Product 6Product 7Product 8Product 9
Digital profile
1
Digital profile closer to cluster or ?
Data
Data
Colvir AI Engine
Users cluster 21 2
Colvir’s Solution of Employee AttritionA state-of-the-art service making life easier for the HRD and for business
Colvir Employee Attrition means:
A service that leverages machine learning and artificial intelligence technologies to facilitate reduction of operational risks and costs of finding, adapting and training of new employees, thanks to:
Creation of a probability-based employee dismissal model
Construction of predictive analytics
Forecasting of future employee behavior
Employee dismissal model outcome interpretation and visualization
Creation of a probability-based employee dismissal modelColvir Employee Attrition
How Colvir Employee Attrition works
1. We define parameters for use in employee behavior analysis.
2. We prepare a data set needed to put together a sample for training and testing purposes
3. We use historic data to build a reference behavior pattern for the employee to be dismissed
4. We process data for the selected employee for the requisite period leveraging the neural network feature
5. We identify employee behavior deviations from the reference behavior pattern
6. We calculate the employee dismissal probability
7. We visualize the data for subsequent review and decision making
Key Components
AI AnalyticalSystem
Training Sample Reference Model
Data to Be Analyzed Database Data Visualization
Employee outcome sampleH
igh
quitt
ing
risk
Qui
ttin
g ris
k –
3 m
onth
s
Low
leve
l of
empl
oyee
qui
ttin
g (d
ism
issa
l ris
k) 0
10
20
30
40
50
60
70
24.10.18 09.12.18 13.02.19 29.04.19 14.07.19 16.09.19 18.11.19 05.02.20 28.04.20Вероятность увольнения, % Среднее за 4 нед., %Dismissal probability, % 4 weeks average value, %
Colvir AIOpsIntelligent superstructure for infrastructure and application service monitoring systems
End user issues may escape being noticed
IT incidents may occur at different service, platform or infrastructure levels. If one were to consider just availability of individual system elements, it may be quite high, yet the system may not be available to the end user for an extended period of time.What makes it more complicated is the fact that problem solving approaches may differ quite dramatically at different IT tiers.
Application
JEE Server
Database
OS
Network
DDoS
End User
99,5%
99,6%
99,7%
99,1%
99,4%
99,2%
75%
Our approach: we must anticipate service unavailability at each IT tier
What is AIOps all about?
AIOps input accepts both historic and current real-time data, loads such data to the data warehouse and processes them leveraging artificial intelligence and machine learning technologies.
* based on articles published by Gartner in 2018-2019.
AIOps Flowchart*
Monitorin
gAnalysis
Actions
Big Data
MachineLearning
Monitoring System Data
Historic Data
Data available online
LogsMetrics
ChannelsText
Documents
Historic Analysis
Anomaly detection
Performance Analysis
Searching for Inter-relationships
AIOps embraces leveraging Big Data, machine learning and data visualization technologies to detect inter-relation among IT landscape events and to facilitate early detection of anomalous system object behavior.
Colvir AIOps is a monitoring systems superstructure for infrastructure and application services
HTM (Hierarchical Temporal Memory) artificial intelligence algorithm designed for anomaly detection in data flows
Application Performance Monitoring (APM) Approach
Infrastructure resource analysis with reporting of potential (predictive) threshold excess
Provision of information with regard to current infrastructure bottlenecks
Colvir AIOps facilitates real-time extraction of critically important information from the flow of infrastructure and service error data, identify cause-and-effect relations of errors occurring in the IT landscape, detect anomalies and forecast future events.
Anomaly Detection Implementation Method
Metrics + Time SDR
Learning Algorithms
Оценкааномалии
EncoderAnomaly
Evaluation
Forecasting and Classification of
Detected Anomalies
Infrastructure Monitoring Systems
etc.
The Reporting module will be unavailable during the next 12 hours with 85% probability caused by database overloading
Functional Flow ChartMobile Application Mobile Device 1
iOSAttritionSDK
AndroidAttritionSDK
User Scenario / System Metric
User Scenario / System Metric
User Scenario / System Metric
…
AnomalyLocal Database
MetricsWeek 1
NeuralNetwork Training Neural Network
Metric Flow
Web
AttritionSDK
Anomaly
…
Infrastructure
AttritionSDK
Anomaly
https https https
Health Web Service
Receipt of summary anomaly information, analysis performance
and trend forecasting
User Scenario / System Metric
Colvir Banking SystemCore Banking System from Colvir Software Solutions
Use of AI&ML in Colvir Banking SystemColvir Banking System – is a state-of-the art core banking system localized for Azerbaijan, taking into account all relevant legal requirements, translated in the Azerbaijani language and designed to improve customer experience.
Standard Colvir CBS functionality comprises:
modules designed to automate all standard banking business processes and products
a state-of-the-art service bus including an API tier that can facilitate simple and quick integration
a Data Warehouse to support construction of regulatory and management reports, data retrieval and analysis from diverse sources
a product factory
a report builder
a template builder
BPM
in Azerbaijan include Ziraat and AzerPost
35banks throughout CIS
2
Alexander Ozerov – Head of AI&ML department [email protected] +7 904 422 9528
Denis Yudin – Head of Sales in [email protected] +7 963 655 42 37
London / Istanbul / Moscow / Minsk / Tashkent / Nur-Sultan
Today and tomorrow we will be happy to welcome you
at our booth