Business Intelligence

BI Day (14.01.2025)

Award ceremony

From left to right: 🏆 Aleksandra Gorczyca, Katarzyna Chęć, Yash Chawla, 🏆 Maria Drabik, Dimitris Sotiros, Valeria Zuccoli, 🥈 Piotr Zaborowski, Emanuele Fabbiani, Fridthjof-G Eriksen, 🏆 Mateusz Mandziuk, Rafał Weron, Wojciech Gurgul, 🥇 Joanna Szeloch, 🥉 Marina Bazano Sammartino

BI Day student 3-minute talks

We will not be as restrictive as 3MT (https://threeminutethesis.uq.edu.au/home), but still there will be some limitations:

• ⏰ max 3 min / person,
• 🎞️ max 3 slides (static, no animations, only in PDF format, uploaded least 24h before the meeting, i.e., before 13.01.2025, 9am; file name <Surname>.pdf),
• 📢 you are expected to present something interesting about your research activity related to Business Intelligence, e.g., preliminary results of your Master thesis or a BI-type project from another curriculum.

Please use ePortal (https://eportal.pwr.edu.pl/course/view.php?id=4717) to upload your slides and a short (max 300 words) explanation of what you will talk about. The latter has to explain the link to Business Intelligence, and provide a brief description of the BI-type project and the results obtained.

Panelists from the industry

Fridthjof-G Eriksen (Data Architect & Business Intelligence expert, formerly at BIS)

Emanuele Fabbiani (Founder, Head of AI at xtream)

Wojciech Gurgul (Entrepreneur & advisor, former CEO of Xebia Poland & PGS Software)

Piotr Magnuszewski (Science Director at Centre for Systems Solutions)

Valeria Zuccoli (AI Scientist at Bettini)

Panelists from the academia

• Yash Chawla
• Katarzyna Chęć
• Dimitris Sotiros
• Rafał Weron

Schedule (tentative)

• 09.00-09.15 - Rafał Weron "Rules of the game"
• 09.15-12.00 - 3-minute talks (with Q&A sessions and a discussion after each block) and 15-minute presentations by the industry partners (with Q&A sessions)
  • Emanuele Fabbiani "Inside the mind of an LLM" [Slides 6.3 MB]
  • Block #1 (🎓🎓🎓 randomly selected students) ‍
  • Wojciech Gurgul "My list of recommended business books"
  • Block #2 (🎓🎓🎓 randomly selected students)
  • Fridthjof-G Eriksen "BI - evolutionary cycles" [Slides 0.3 MB]
  • Block #3 (🎓🎓🎓 randomly selected students)
• 12.00-13.30 - Lunch break
• 13.30-15.00 - 3-minute talks (with Q&A sessions and a discussion after each block) and 15-minute presentations by the industry partners (with Q&A sessions)
  • Valeria Zuccoli "CCTV challenges in AI" [Slides 0.8 MB]
  • Block #4 (🎓🎓🎓 randomly selected students)
  • Piotr Magnuszewski "From BI to public sector intelligence: The mission to create climate neutral cities"
  • Block #5 (🎓🎓🎓 remaining students)
• 15.00-15.30 - 🏆 Award ceremony (for the best student presentations)

Judging criteria

• Comprehension & content graded on a scale of 😵‍💫 (1) to 🥳 (7) by each panelist
  • Presentation provided clear background and significance to the research question
  • Presentation clearly described the research strategy/design and the results/findings of the research
  • Presentation clearly described the conclusions, outcomes and impact of the research
• Engagement & communication graded on a scale of 😵‍💫 (1) to 🥳 (7) by each panelist
  • The oration was delivered clearly, and the language was appropriate for a non-specialist audience
  • The slides were well-defined and enhanced the presentation
  • The presenter conveyed enthusiasm for their research and captured and maintained the audience's attention
• Grading scale
  1. 😵‍💫 Does not meet expectations
  2. ☹️ Demonstrates competency but some major weaknesses
  3. 😕 Demonstrates competency but some significant weaknesses
  4. 😐 Good, but some flaws
  5. 😎 Very good, only very minor flaws
  6. 😁 Excellent, almost flawless
  7. 🥳 Outstanding, no flaws

Presenters

1. Marina Bazano Sammartino, "From opinions to action: A BI framework for urban green spaces"
2. Nikoletta Błach, "Passenger patterns: Unlocking the data of Seoul's subway"
3. Alicja Dąbrowska, "Weighted hybrid movie recommendation system"
4. Martyna Dopart, "Forecasting of metallurgical materials prices using ML techniques"
5. Maria Drabik, "Design of a tool supporting the analysis and forecasting of product sales for a pizzeria using predictive analytics"
6. Jarem Javier Gomez Guzman, "Optimizing heavy machinery operations: My internship as an in-house support engineer at GECOLSA-CAT"
7. Aleksandra Gorczyca, "Soil moisture management system as a BI tool"
8. Alicja Jaworska, "How to invest in the energy market"
9. Adam Kawałko, "Analysis of dependencies in financial time series from the aviation market"
10. Mikołaj Kotuła, "Improving the bank's marketing campaign using statistical methods"
11. Mateusz Mandziuk, "Cloud-based environmental monitoring: Air quality and atmospheric analysis"
12. Maciej Mleczak, "Predicting the enhanced cellular bandwidth for highly automated driving"
13. Joanna Szeloch, "Managing changes in music industry - dashboard for concert planning"
14. Mikołaj Sznurowski, "Leveraging ML for future sales prediction: Enhancing decision-making with BI"
15. Piotr Zaborowski, "Is it possible to predict how quickly a property will sell?"

Participants

1. Anteneh Abera
2. Aleksandra Bałys
3. Jakub Ignaszewski
4. Simon Ogar Joseph
5. Jakub Kobiela
6. Alicja Komorniczak
7. Patryk Logoń
8. Joshua Luis
9. Viktor Melnyk
10. Konrad Niewiadomski
11. Aleksandra Piekarz
12. Jacek Sekula
13. Kajetan Tomalik
14. Aleksandra Piskorek
15. Daniel Alejandro Torres Tiscareño
16. Paweł Węgrzyn

"How to win the 3MT" workshop materials

I encourage you to read the guidelines at:

• https://threeminutethesis.uq.edu.au/resources/3mt-competitor-guide
• https://pipettegazette.uthscsa.edu/2020/08/21/10-tips-for-3-minute-thesis-competition/

3MT Workshop delivered by Peter Browne and Megan Brewer (https://students.mq.edu.au/study/hdr/3-minute-thesis-competition)

• Workshop recording
• Megan's slides
• Peter's slides