Scope:
The practical application of Artificial Intelligence models and systems in the business world is now a reality. During the last few years, Artificial Intelligence has been an increasingly, concrete and comprehensive application in many application domains. Despite this, its introduction in business environments has been somewhat selective, being gradually absorbed in various aspects of business management, with particular impact in the areas of automation and improvement of production processes, investment and risk management, business communication plans, establishing of effective customer relationships, operational assistance and support, cybersecurity, and intensive data analysis, among many other things.
AI tools, such as ChatGPT, Bard, Stable Diffusion or DALL-E, are recognized today as essential instruments for supporting intensive data searching preparation and analysis in a large diversity of domains, including the most traditional ones, such as business. Data has today new and sophisticated models, instruments and artifacts to deal with it, in a very simple, fast and efficient way. Data represents a critical aspect of the life of an, contributing to a more competitive environment on how their activity will function. Generated data allows organizations to know how business is evolving, supporting critical decision-making processes not only at the operational level but also at the tactical and strategic levels. However, the analysis of data, in all its diversity, imposes several changes related not only to the diverse data formats available in real-world scenarios but also to the amount of data available.
Additionally, business needs are more volatile and unpredictable. Requirements change fast and need proper strategic reactions. All this contributes to the development of new approaches, technologies, and models to ingest, process and analyze data not only using statistical methods but also using Artificial Intelligence solutions for identifying and discovering new knowledge that contributes to business growth and improvement. This workshop promotes the most advanced research on innovative techniques and models for storing, processing and analyze data using disruptive approaches to knowledge engineering and decision-making systems, appealing to the use of Artificial Intelligence models and techniques in their implementation and development, giving particular attention to all solutions using the most recent Generative Artificial Intelligence approaches.
Topics:
Topics of interest include (but are not limited to):
- Artificial Intelligence applied to Business Intelligence and Data Analytics.
- Business Intelligence, Business Analytics and Data Science.
- Data Analytics, Data Mining and Computational Intelligence.
- Generative Artificial Intelligence and its Applications in Business Intelligence Domain.
- Agents and Bots for Business Intelligence and Data Analytics.
- Inception and Development of Modern Data Architectures for Data Lakes, Data Warehouses, Data Lakehouses, Data Meshs and Vaults.
- Data Models and Architectures for Analytics Intelligent Systems.
- Data Quality, Curation Provenance, Security, Catalogs and Governance supported by Generative Artificial Intelligence.
- Intelligent Dashboard for Analytical Key Performance Indicators.
- Ontology Learning for Data Analytics.
- Intensive Query Processing and Analysis for Big Data.
- Searching Sentiments and Opinions in Unstructured Data.
- Applications for Learning, Finance, Marketing, Banking, Medicine, Industry and Services.
Important Dates:
- Submission: Dec. 7, 2023
- Notification: Dec. 25, 2023
- Registration: Jan. 5, 2024
Workshop Submissions:
https://easychair.org/conferences/?conf=worldcistworkshops2024
Organizing Committee:
- Orlando Belo, Universidade do Minho - Campus de Gualtar, Braga, Portugal,
This email address is being protected from spambots. You need JavaScript enabled to view it. - Bruno Oliveira, Escola Superior de Tecnologia e Gestão, Felgueiras, Portugal,
This email address is being protected from spambots. You need JavaScript enabled to view it. - Óscar Oliveira, Escola Superior de Tecnologia e Gestão, Felgueiras, Portugal,
This email address is being protected from spambots. You need JavaScript enabled to view it.
Program Committee:
- Alberto Abelló, Universitat Politècnica de Catalunya, Spain.
- Bruno Oliveira, Polytechnic Institute of Porto, Portugal.
- Carlo Drago, University of Rome Niccolò Cusano, Italy.
- Davide Carneiro, Polytechnic Institute of Porto, Portugal.
- Elsa Cardoso, University Institute of Lisbon (ISCTE), Portugal.
- Jefferson Morais, Universidade Federal do Pará, Brazil.
- José Barateiro, University Institute of Lisbon (ISCTE), Portugal.
- Ladjel Bellatreche, National Engineering School for Mechanics and Aerotechnics (ISAEENSMA), France.
- Manuel Filipe Santos, University of Minho, Portugal.
- Martina Sestak, University of Maribor, Slovenia.
- Nuno Escudeiro, Polytechnic Institute of Porto, Portugal.
- Orlando Belo, University of Minho, Portugal.
- Óscar Oliveira, Polytechnic Institute of Porto, Portugal.
- Paulo Novais, University of Minho, Portugal.
- Pedro Perfeito, Culto de BI, Portugal.
