The technology of introducing new algorithms from data as well as past experience to accomplish tasks without human involvement. Ask me about detais - mailto mkavaliova@ibagroup.eu

1. Machine Learning
The technology of introducing new algorithms from data as well as
past experience to accomplish tasks without human involvement
August
2019

2. As data sources multiply and the information becomes more
sophisticated and unstructured, the traditional approach to data
analysis and structuring turns out to be very resource-
consuming. Machine Learning and neural networks are the next
steps in data management and a basis for the systems that
perform without human intervention.
According to BCG, 85% of executives believe that AI will allow
their companies to obtain or sustain a competitive advantage.
«Is your business ready for artificial intelligence?» 
Boston Consulting Group
What is going on in the
industries?
2

3. Machine Learning (ML) is a sphere that studies and
develops algorithms for computer systems so they can
learn and perform from experience without being
explicitly programmed. The algorithms rely on patterns
and are trained to build prediction models, form
personalized recommendations, recognize objects from
pictures, videos, etc.
What is Machine
Learning?
3

4. ML application in different spheres
Banks use ML to confirm credits, detect fraud, assess risks and provide underwriting. Self-training chatbots help advise clients
on bank’s products and services and reduce call center operating costs.
Logistics companies optimize supply chains, manage schedule and plan routes.Logistics
Banking and
Financial Services
Government State bodies use ML to enable data mining, increase programme implementation efficiency and save money.
Manufacturing
Healthcare
Manufacturing enterprises use computer pattern recognition to ensure product quality and predictive maintenance control.
ML helps analyze data received from sensors to assess patient health condition in real time and predict its further changes.
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5. What are the benefits?
5
_ 01 Data mining
Machine Learning analyzes large unstructured data for valuable
insights.
_02 Predicative analytics
ML-based solutions analyze data, determine their relevance and help
with decision-making.
_03 Adaptation to fast-changing market conditions
ML algorithms rapidly process historical data, analyze new
information in real time and correct the results. Executives receive
actual data to empower decision-making.

6. Which business
processes ML can
enhance?
_1 Manufacturing
_2 Asset management
_3 Project management
_4 Help desk
_5 Human resource management
_6 Marketing
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7. Manufacturing_1
To predict production line malfunctioning and product defects
The solution trains AI to supervise product quality throughout the whole production cycle. The system uses data received from
production line sensors to build predictive models of equipment failures and faulty product release. Due to early prediction
enterprises reduce the number and cost of the defects and failures.
 ML-based control of production lines
Solution highlights
Business challenge
IBA Group solution
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8. Asset Management_2
To analyze power lines condition
The solution receives video from cameras installed on drones. The system analyzes videos and photos, recognizes power line
breakages, and notifies the staff of them.
 Power Line Monitoring System based on computer vision.
Solution highlights
Business challenge
IBA Group solution
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9. Asset Management_2
To estimate brand visibility
The solution searches sites for tire images, recognizes the company’s logo, extracts information about tire parameters: brand,
model, size, type, and season. AI helps to assess, which tire types are the most popular.
 Logo Recognition System in images
Solution highlights
Business challenge
IBA Group solution
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10. Project Management_3
To predict project risks
The system analyzes the current tasks and uses historical data to estimate time for accomplishing a task. The system detects
weak points of the project – tasks that are either underestimated or overestimated.
 Time risk prediction in projects
Solution highlights
Business challenge
IBA Group solution
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11. Help Desk_4
To improve customer service, reduce call center operating costs and facilitate the operator’s work.
Chatbot implementation reduces the workload on the personnel of a call center, as it processes similar-type routine messages,
allowing operators to concentrate on non-standard requests.
A client receives a consultation at any time and doesn’t wait for a human operator, who might be busy at the moment.
 Chatbots
Solution highlights
Business challenge
IBA Group solution
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12. Human Resource Management_5
To unify resumes and boost HR department performance
The company receives hundreds of resumes written by candidates in no particular format. Bringing all these resumes to a single
format is a time-consuming task for an HR manager.
The application helps the HR manager to extract candidate’s contact telephone number, name, personal information and other
data from resume files. The solution automatically uploads the data into corporate systems in pdf, doc or RTF formats.
 Application for data extraction from resumes
Solution highlights
Business challenge
IBA Group solution
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13. How to prepare your data
for Machine Learning?
13
IBA Group team has developed a tool kit that helps prepare
data for ML.
_ Marker is a data markup tool
The tool helps to mark up the data that will be used in ML
model training. The data are securely stored in the IBA
Group data center.
The access to demo is available upon request.
_ML-Tag is a built-in tool for ML model training
The instrument provides for text classification, clustering, and
data extraction.
For a start, users upload documents into the instrument and
highlight the relevant clusters, then upload processed
documents into the ML tool.

14. What services we offer?
We develop solutions that recognize
texts, extract the required
information and process it.
Computer vision
We design solutions that retrieve
and analyze information from
images and videos, recognize
emotions.
Text mining
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Predictive analytics
We develop systems for data
mining and predictive modelling.
We analyze customer’s business processes, develop and test ML algorithms, customize third-party solutions, and integrate solutions
with customer’s IT infrastructure.
Machine Learning in
RPA
We create robots that are trained to
analyze and process information
with varying structure.

15. 5 facts about IBA Group
_1 26 years in IT
_2 2 600+ IT and business specialists
_3 20+ branches in 12 countries with headquarters in Prague, the Czech Republic
_4 Partner for leading IT service providers
_5 Developer of in-house solutions and products
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16. IBA Group
info@ibagroup.eu
+375172697799
ibagroup.eu
Thank you for attention!