Artificial Intelligence and Data Science: From Opportunities to Limitations

Discover the Opportunities of Artificial Intelligence and Data Science!

The use of artificial intelligence enhances productivity and competitiveness by making production management fast and data-driven.

Artificial intelligence (AI) and data science are transforming industries, helping companies optimize processes, improve decision-making, and increase efficiency. But where are the limits of these technologies, and when is it justified to use them?

In this training, we provide an overview of the opportunities offered by data science and artificial intelligence in industrial enterprises. We will learn how structured data can optimize business processes, when AI implementation is justified, and what the current technical limitations are.

TRAINING TOPICS

This course offers a practical overview of the opportunities that data science and AI provide to industrial companies. We will explore how structured data can be used to optimize business processes, when AI implementation is justified, and what the current technical limitations are. We will also discuss how companies can assess their data maturity and what steps they should take before adopting AI solutions. Additionally, we will cover cybersecurity-related topics.

Online Lectures

• What is Data Science? What is Artificial Intelligence?
• CRISP – Data Science Project Framework
• Machine Learning and Artificial Neural Networks
• When Language Models Can and Cannot Be Used
• Process Mining
• How Estonian Companies Have Applied Generative AI (in English)

On-site Learning Day at Delta Study Building

• Life Before AI: Data Maturity Model – Where to Start with Data Utilization?
• Computer Vision
• Risk Management in Automated Production

The detailed list of training topics is still being updated.

TRAINING FORMAT

The training “Artificial Intelligence and Data Science: From Opportunities to Limitations” will be conducted mainly online. The final training day, on May 5, will take place at the University of Tartu’s Delta Study Building, running from 10:30 AM to 4:00 PM. The online learning will take place in the Moodle environment, and registered participants will be granted access for the duration of the training.

Participants who complete the full course will receive a certificate of participation from the University of Tartu’s Continuing Education Program.

TARGET AUDIENCE & PARTICIPATION FEE

AIRE’s training programs are designed for industrial company managers, executives, analysts, and other industry specialists who want to better understand the importance of data and gain practical knowledge about the use of new technological tools.

The course is also valuable for companies that form part of the industrial value chain, such as IT service providers, logistics companies, educational institutions, and training organizations. More broadly, it provides useful insights for anyone involved in data analysis or decision-making related to production processes and development.

Participation is only available to legal entities (e.g., using employer-provided details). Registration is required by April 16, 2025, and seats are limited!

Registered companies in the target group will be directed to AIRE’s digital maturity assessment service, and participants will be contacted regarding this process.

Participation Fee: €480

The fee is covered under the de minimis aid (VTA). By registering, the company confirms permission to use its VTA balance, which will be recorded in the State Aid Register as co-financing for the “AI & Robotics Estonia (EDIH)” project.

TRAINERS

The training will be conducted by researchers from the University of Tartu’s Institute of Computer Science and various industry experts.

Ardi Tampuu

• Lecturer in Artificial Intelligence at the University of Tartu.
• His PhD research focused on using data science to understand biological processes.
• Now specializes in computer vision, including autonomous driving, object detection, and pose estimation.
• Has conducted highly popular AI courses, such as:
  • “Introduction to Artificial Intelligence” (with thousands of participants).
  • “Business Applications of Data Science” (with over 700 participants).
• Emphasizes structured project execution and planning, and has also taught project management courses.

Vjatšeslav Antipenko

• Junior Researcher at the University of Tartu, joined the cybersecurity research group in 2023.
• Previously gained extensive experience in telecommunications, working at Telia Estonia.
• Developed IoT services and later led the IoT services division for five years.
• His unique mix of industry experience and academic research gives him deep insights into the intersection of theoretical knowledge and real-world applications, especially in IoT and cybersecurity.

The list of trainers is still being updated.