Tallinn University of Technology

AI IN BUSINESS, June 5-6, 2023

Scientific workshop on business implications of artificial intelligence, Online via Zoom and on-site, Dept. of Business Administration of Tallinn University of Technology (Taltech), Akadeemia tee 3, Tallinn, ESTONIA. Room SOC414 (June 5th) and SOC212 (June 6th).
Free of charge for authors and participants

This workshop discusses artificial intelligence solutions at different forms, methods and levels of the organization and in different areas of the economy. Of interest are: AI at different levels of activity, eg machine, department, company; AI for different economic sectors; case studies of successfully implemented AI solutions etc. The focus can be a narrow one – on the individual company, entrepreneur, manager and their specific challenges. The focus can also be a wide one – at digitalization and AI in general; AI solutions and other.

The workshop is planned with researchers and graduate students in mind, but we also expect presentations or participation from developers, industry experts, business people, undergraduate students and others.

On digital public services, Estonia is already well-known for being a top performer. Now the business digitalisation is following with AI being next evolutionary step in digital transformation. Estonia is the forerunner in integrating digital technologies, because the citizens, businesses and the government have embraced internet and technology into the society. In 2007 it became the first country to allow online voting in a general election. In 2002, Estonia launched a high-tech national ID system. National physical ID cards enable businesses to foster digital services as cards are paired with digital signatures. Estonians use ID cards to go online to pay taxes, vote, do online banking and access their health care records. Another key feature of Estonia’s digital society is e-Residency, a first-of-its-kind initiative that allows individuals to start businesses in the country without living there. The program serves as a launching pad for companies looking to do business in the European Union (EU) and benefit from the EU’s single market. Estonia ranks 1st place in the EU on Digital public services and continues to be a firm leader in this area.

Tallinn University of Technology (Taltech) is the leading technology university in Estonia and the backbone of country’s innovation. We invite you to be part of this workshop which is focused on business aspects of digital innovation, namely artificial intelligence.

The workshop keywords include, but are not limited to: digital transformation, AI applications and implementation, virtual assistants, chatbots, industry 4.0, smart manufacturing, digital twins, massive monitoring, Internet of Things (IoT), business analytics, decision support systems, ethical AI, legal aspects of AI, safe AI, human factors etc.

Call for papers (for authors)

This workshop is calling for submissions of extended abstracts (2-5 pgs) on the topics related to AI and business.  Download extended abstract template here

Publication: all accepted articles will be included in workshop proceedings, published by Taltech Press and made available as open access on Digital Collection of TalTech Library. Digital Collection is part of the European e-theses portal DART-Europe, the Directory of Open Access Repositories OpenDOAR and the Estonian e-repository E-Varamu.

Important dates

May 28, 2023 – deadline for extended abstracts send to conference email (below)
June 4, 2023 – registration deadline
June 4, 2023 – agenda announced at workshop website (see below)

Registration and participation

Registration and participation is free of charge, REGISTER HERE.
Participation is possible online via Zoom or on-site in Tallinn University of Technology.
Zoom link will be provided to registered participants.
Conference language is English.

Agenda (to be updated)

(EEST - Eastern European Summer Time, Estonian time)

5. June, 2023

14:30 (EEST) Workshop opening, a word from the organizers

14:45 (EEST) Welcome talk by Tallinn University of Technology


15:00 (EEST) Keynote talk “Connecting ChatGPT to physical world – What are the prospective business applications”, by Manas Gaur, assistant professor of Computer Science and an affiliate faculty member of Ebiquity Research Group at University of Maryland Baltimore County (UMBC).

In the past, Senior AI Research Scientist with the Knowledge and Dialog team within AI Center at Samsung Research America. Also, recently Manas was a visiting researcher at the Alan Turing Institut. Manas was awarded PhD in Computer Science from the Artificial Intelligence Institute at UofSC.
The key note talk will address Cyber-Physical systems and Large Language Models (LLM), namely looking to identify prospective business applications.
ChatGPT has emerged as a disruptive technology, evoking new ways of doing business. As the world continues to move towards more intelligent and automated systems, cyber-physical systems are emerging as a second key component of this transformation. This keynote will explore the exciting new developments in cyber-physical systems, especially how to connect these into large language models like OpenAI GPT-4. Potential business applications are highlighted. Manas also discusses the challenges that need to be overcome to fully realize the potential of these systems in real life scenarios.
Manas Gaur homepage https://manasgaur.github.io/

15:45 (EEST) How ChatGPT changes the business, panelists professor Henrijs Kaļķis, University of Latvia, professor Mari-Klara Stein, Taltech, (3rd panelist to be announced)

This panel discussion explores the impact of advanced language models, such as OpenAI GPT-4, on the business landscape. The discussion covers topics such as the use of chatbots in customer service, the automation of repetitive tasks through natural language processing, and the potential for personalized and predictive marketing. Panelists also discuss the ethical considerations surrounding the use of AI in business and the need for responsible development and deployment. The panel seeks to explore the possibilities and challenges of integrating AI language models into the business world.

(PAUSE 5-15 min)

17:00 (EEST) Workshop session 1

~18:30 (EEST) End of DAY 1

6. June, 2023, 2nd DAY

12:00 (EEST) Workshop session 2

(PAUSE 5-15 min)

13:30 (EEST) Workshop session 3

15:00 (EEST) Closing words

Program committee

Henrijs Kaļķis

Henrijs Kaļķis, professor, University of Latvia, Faculty of Business, Management and Economics, Director of study programme “Industrial Engineering and Management”

Susanne Durst

Susanne Durst, Adjunct professor, Head of Research - Entrepreneurship and International Business Unit, Department of Business Administration School of Business and Governance Tallinn University of Technology


Wolfgang Dieter Gerstlberger, Professor for Operations Management Department of Business Administration School of Business and Governance Tallinn University of Technology


Mari-Klara Stein, professor, Head of Organisation and Management Unit, Department of Business Administration School of Business and Governance Tallinn University of Technology


Tarmo Koppel, Organizing committee chair, lecturer, dept. of business administration of Tallinn University of Technology (Taltech)
Tarmo Kalvet, Adjunct Professor and Co-ordinator of TalTech Industrial action
Levan Bzhalava, Postdoctoral researcher, dept. of business administration of Taltech
Karin Reinhold, Docent, dept. of business administration of Tallinn University of Technology (Taltech)
Külle Tärnov, innovation manager, Smart cities competence center, Taltech
Inese Vilcane, Doctoral student, dept. of business administration of Taltech
Olga Tšernikova, Doctoral student, dept. of business administration of Taltech.

Contact us

Email: workshop@aibus.eu
Tel.: +372 56560830
Address: Tallinn University of Technology (Taltech), Akadeemia tee 3, Tallinn 12611, ESTONIA


This workshop is supported by TalTech Industrial project. TalTech Industrial has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952410.