THE WORKSHOP WILL TAKE PLACE ON 25–28 NOVEMBER 2024 AT THE FREE UNIVERSITY OF BOZEN-BOLZANO, ITALY.


4th Italian Workshop on Artificial Intelligence and Applications for Business and Industries - AIABI | co-located with AI*IA 2024

AI is strongly emerging as a transversal and powerful technological paradigm, capable of transforming business models across all industries in a disruptive and pervasive way. This workshop will focus on the current landscape of AI for business in various fields and industries.

Discover More
Hero Image

Previous Editions

Registration

To be announced.
For more info on the registration please visit the AI*IA 2024 registration page.

Abstract Submission

September 17, 2024 September 19, 2024

Paper Submission

September 19, 2024 September 24, 2024

Notification to authors

October 06, 2024

Camera ready for CEUR Proceedings

November 11, 2024

Call for papers

Papers

Submission Guidelines

We welcome original contributions on novel methodologies or business cases of AI systems and algorithms for industries. Papers will be reviewed by at least two program committee members based on originality, significance, relevance, and technical quality.

Authors must adhere to the 1-column CEUR-WS formatting guidelines.
An Overleaf page for LaTeX users is available at as template.
You can also download an offline version with the style files from https://ceur-ws.org/Vol-XXX/CEURART.zip.

Authors can submit Short papers (5-9 pages) or Regular papers (above 10 pages). For more information, visit http://ceur-ws.org/HOWTOSUBMIT.html.

Submissions must be made through the EasyChair conference system (https://easychair.org/conferences/?conf=aiabi2024) before the indicated deadline. At least one of the authors should register and take part at the conference to make the presentation.

Submission Guidelines
Proceedings and post-proceedings

Papers

Proceedings and post-proceedings

Upon author confirmation, accepted papers will be published in the AI*IA Series on CEUR-WS.org.

Proceedings will be submitted for indexation by:

Scopus
Semantic Scholar
Google Scholar
dblp computer science bibliography

Motivation

Motivation

Motivation and scientific relevance to the conference audience

The workshop on Artificial Intelligence and Applications for Business and Industries (AIABI) is highly relevant to the conference audience, focusing on the pervasive influence of AI in various business sectors. It addresses the significance of understanding AI applications and implications for academia and industry professionals. The emergence of generative AI technologies, which create new content and make predictions, has expanded AI's potential in marketing, product design, customer service, and more. The workshop provides a platform for attendees to explore advancements, practical implementations, and case studies of traditional and generative AI in real-world business scenarios. It fosters collaboration and knowledge exchange, highlighting AI's transformative role in enhancing operational efficiency, driving innovation, and enabling data-driven decision-making. The workshop emphasizes the scientific relevance of cutting-edge AI research and its impact on industries, aiming to equip attendees with knowledge about AI tools that generate creative solutions and automate complex processes, thereby enhancing business strategies and competitiveness.

AI is a crucial technology
Why AIABI?

Motivation

Why AIABI?

This workshop will focus on the current technological scenario of AI for business in various fields and industries. The main aim is to allow organizations, academics, researchers, firms, decision-makers, and practitioners to share and analyze diverse research works and business case studies related to AI in business. The idea behind this workshop is to provide an opportunity to share knowledge and experiences on how AI is currently affecting business cases and intelligence. Companies will share specific case studies and discuss current issues that AI is solving within their organizations. Researchers will present scientific works and studies to advance the synergies between AI and business models and organizations. The ultimate aim of the workshop is to depict the overall scenario and framework of AI's exploitation, advantages, and current issues in business.

Topics of interest

The AIABI workshop explores AI's transformative effects on various business sectors, aiming to overhaul traditional frameworks and streamline processes. It serves as a crucial platform for organizations, academics, and industry leaders to exchange and examine the latest AI research, case studies, and applications.
Topics include model interpretability, managing imbalanced datasets, addressing biases, and handling sparse annotations.
The workshop invites position papers on industrial use cases, innovative solutions, and topics such as:

  • ML applications in Quality Control
  • Transfer learning and domain adaptation
  • Conversational systems in business
  • NLP for business products
  • Ethical AI deployment
  • Computer vision for quality control
  • Generative AI for product design
High-quality theoretical, engineering, and applied papers are welcome, including real-world case studies. Besides new results, the workshop accepts discussion papers on recently published work and position papers on new industrial systems and case studies, encouraging debate and collaboration within the AI community.

Workshop Program

To be announced.

Accepted papers

To be announced.

Committee

Organizers

Francesco Epifania

CEO & Co-founder Social Thingum

Francesco Epifania is CEO & founder of Social Things srl, he was a research assistant in Computer Science at the University of Milan and Ph.D candidate at the University of Milano Bicocca. He has received 3 degrees and Ph.D in Computer Science.

Matteo Garavaglia

Data Engineering & PhD Student

I am a PhD Candidate in Computer Science at the University of Milano Bicocca, where my research focuses on advanced topics in the field of Data Engineering and Artificial Intelligence. Simultaneously, I hold the position of Data Engineer and AI Researcher at AITECH4T, where I am actively involved in developing and implementing cutting-edge AI solutions. As a PhD Candidate, my primary objective is to conduct original research, contribute to the existing body of knowledge in the domain of Computer Science...

Simone Deola

Machine Learning Engineer & PhD Student

Developing ML solutions for third-party companies using custom technologies and ready-to-use solutions. I am currently collaborating with the Bicocca University of Milan as part of a PhD Executive project. My research area is mainly focused on NLP technologies, mainly in the area of conversational algorithms.

Ricardo Matamoros

Project Manager Computer Science & PhD candidate

Master's degree at the Department of Computer Science, University of Milan Bicocca. In his career, he has focused on topics related to the domains of Artificial Intelligence and Bioinformatics. His main activities are Agile management of the development of various projects throughout their lifecycle, experimental analysis and comparison of different solution methodologies for various AI problems, implementation and development of different types of recommendation systems, and use of techniques belonging to deep learning to improve the state of the art.

Committee

Members

Ernesto Damiani

Full Professor, Department of Computer Science, University of Milan Senior Director at Robotics and Intelligent Systems Institute, Khalifa University Director, Center for Cyber Physical Systems, Khalifa University President, Consortium of Italian Computer Science Universities (CINI)

Guido Di Fraia

Associate Professor, Vice Rector for Innovation and Artificial Intelligence Department of Communication, Arts and Media “Giampaolo Fabris”, IULM University in Milan Vice Rector for Innovation and Artificial Intelligence Founder and CEO, IULM AI LAB

Alberto Fioravanti

Chairman, Digital Magics

Iuri Frosio

Principal Research Scientist, NVIDIA

Eugenia Kovatcheva

Associate Professor, Department of Information Technology, University of Library Studies and Information Technologies (ULSIT), Sofia Scientific Secretary, Department of Information Science UNESCO Chair ICT in Library Studies, Education and Cultural Heritage, ULSIT

Giulio Massucci

CEO & Co-Founder, Wavenure

Alberto Luchetti

Data Scientist at lastminute.com

Luca Nardone

Head of Artificial Intelligence & Automation at Unipol Group

Roumen Nikolov

Department of Information Technologies, University of Sofia Chair holder of the UNESCO chair in ICT at Sofia

Alessandro Rozza

Chief Research Officer and Chief Machine Learning Scientist lastminute.com