AI & BigData Day is bi-annual conference for Data Science Community in Ukraine.
Conference are organizing from 2017.

About speaker:
Стартап-консультант та підприємець. Протягом часу роботи в Lviv Startup Club долучився до розвитку декількох сотень українських стартапів. Активно досліджує нові моделі успіху в GameDev, Digital Marketing, Project Management, Product Management, Data Science, IT Service Business Management.

Presentation topic:
Основні причини зміни місця роботи українськими Data Scientist

More about presentation:
Протягом своєї професійної кар'єри український спеціаліст по роботі з даними змінює декілька компаній та цілу низку посад. Яка середня тривалість перебування на посаді, які основні драйвери переходу між посадами та причини зміни місця роботи - ми поговоримо під час доповіді, котра базується на свіжому дослідженні ринку талантів в Data Science.

About speaker:
Senior Machine Learning Engineer with over 8 years of research and commercial experience in applying Deep Learning models. Has extensive experience in various computer vision tasks such as feature engineering, object detection/segmentation, and face recognition.

About speaker:
Laureate of the national competition "Young Scientist of the Year" in the nomination "AI Technologies in Science". Semi-finalist #AISOLUTIONS2030 powered by Microsoft and Women in Cloud, World Women Vision Awards Nominee in the area of Education, Finalist "CIO of the year 2020" by WomenTech Network."

Presentation topic:
The AI Gene in the DNA of Digitalization

More about presentation:
AI promise to be the most powerful tools in generations to expand knowledge, enhance prosperity, and enrich the human experience. Technology will be the basis of the innovative economy and a source of power for the countries that use it. AI will promote competition between governments and companies competing for its application. And this will be used by states to realize their strategic ambitions.

AI refers to systems that demonstrate intellectual behavior by analyzing the environment and taking action - with some autonomy - to achieve specific goals.

AI is a system based on algorithms that, by analyzing and identifying patterns in the data, can determine the most appropriate solution. The vast majority of these systems perform specific tasks in limited areas, such as control, forecasting and management. Technology can be developed to adapt its behavior by observing how the environment is affected by previous actions.

AI can be a crucial element in increasing productivity and improving living standards in the coming years. AI refers to technologies programmed to analyze the world around us and take action to achieve specific goals.

During the session we will consider AI and its potential in the system:
• Emergency technologies;
• Public policy;
• Innovation portfolio;
• Diplomacy.

And we come to the conclusion that AI can be considered as a unique category of emerging technologies, which is the peak in the cycle above expectations for a long time.

About speaker:
Yaroslav is leading a-Gnostics, an Industrial AI service focused on anomaly detection and equipment failure prediction. He received a Master's degree in Computer Science and Software Engineering in 2008 from the National Technical University of Ukraine. Since 2011, he is working with SoftElegance, and more than a decade he has been working in the role of system architect, technical team lead, and senior software developer. Yaroslav has exceptional technical skills, and real passion is machine learning. He is the speaker at all valuable data science conferences in Ukraine.

Presentation topic:
Shazam для промислового обладнання: аналіз аудіоданих за допомогою машинного навчання

About speaker:
I efficiently apply both my born skills (perfect ear, analytical thinking, great capacity of work, flexibility, etc.) and a strong background in physics (PhD) in the fields of computational and applied linguistics.

These prerequisites helped me to proceed further than my colleagues:
• In phonetics, I managed to separate speech sound characteristics resulting from the tube and Helmholtz resonances that allowed me to find invariant (speaker-independent) acoustic characteristics of the Ukrainian and English speech sounds, which was not done before. Applicable for phonetics and for enhancing the performance of modern speech recognition tools. Additional tricks reflecting speech wave acoustics will shorten training time and will need much smaller datasets.
• In terminology, we put forward a concept of investigation methods of terminology that allow one to treat terminology as a full-fledged science.
• In terminography, we wrote the Ukrainian-English-Russian "Explanatory dictionary on physics" which is a dictionary of the encyclopedic type and is the only dictionary of this kind in Ukraine.
• In quantitative linguistics, I put forward an analytical approach yielding exact expressions for semantic distances between words.

Presentation topic:
Towards modelling artificial consciousness (UA)

More about presentation:
• Artificial intelligence;
• Artificial consciousness;
• Neural networks;
• Attention schema;
• Synergetics.

About speaker:
10 years in IT, worked with image processing, deep learning and all those fancy words.

Have built few successful projects, ranging from simple autonomous robots to video-based action recognition systems.