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Machine Learning

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Machine Learning
The technology of introducing new algorithms from data as well as
past experience to accomplish tasks wit...

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As data sources multiply and the information becomes more
sophisticated and unstructured, the traditional approach to data...

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Machine Learning (ML) is a sphere that studies and
develops algorithms for computer systems so they can
learn and perform ...

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Machine Learning

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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

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

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Machine Learning

  1. 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. 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. 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. 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. 4
  5. 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. 6. Which business processes ML can enhance? _1 Manufacturing _2 Asset management _3 Project management _4 Help desk _5 Human resource management _6 Marketing 6
  7. 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 7
  8. 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 8
  9. 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 9
  10. 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 10
  11. 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 11
  12. 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 12
  13. 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. 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 14 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. 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 15
  16. 16. IBA Group info@ibagroup.eu +375172697799 ibagroup.eu Thank you for attention!

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