Data Platforms and Artificial Intelligence: Challenges and Applications

This PhD course discusses the transition from big data architectures to the broader notion of data platforms and introduces some of the research opportunities and open challenges related to the synergy of data platforms and artificial intelligence.

It is held within the PhD in Computer Science and Engineering at the University of Bologna.

Program

The course is subdivided into the following parts.

  • An introduction to the world of big data is given, so as to bring up to speed the students that have no prior knowledge on the subject.
  • An in-depth analysis of the polyglot persistence theme is given, introducing the concepts of multistores and polystores and the techniques to query heterogeneous distributed database systems.
  • The main techniques based on artificial intelligence for the smart management of data platforms are presented, with particular focus on discussing the main issues related to metadata generation, maintenance, and exploitation.
  • Finally, challeges and applications related to the field of precision agricolture are presented.

Material:

  1. Summary
  2. Introduction to Big Data
  3. Data Platforms and Polyglot Persistence
  4. Smart Management through Artificial Intelligence

Schedule

The course is held at the Cesena Campus (via dell’Università, 50). Students that cannot physically attend the course can join online via Microsoft Teams.

Join the team on Microsoft Teams: https://tinyurl.com/mujj8fsh

Duration: 10 hours

Dates:

  • 2023-05-29 14.00 - 17.30, room 2.13
  • 2023-06-05 14.00 - 17.30, room 2.13
  • 2023-06-15 14.00 - 17.00, room 2.13

Exam

Students requiring an exam will be asked to produce an essay about possible intersections between their research interests and the topics/open issues presented in this course.

Participation

Students willing to follow the course are kindly asked to send a notification of interest to the teacher, indicating (i) existing issues with the indicated schedule (if any), (ii) the background level on big data, and (iii) whether the course will be followed online or in presence. The notification is neither binding nor required, but it is asked for organization purposes.

Teacher

Matteo Francia is Assistant Professor at the University of Bologna, Cesena. He teaches Big Data and Cloud Platforms at the Master’s Degree in Digital Trasformation Management. His research activities are focused on the topics of big data, NoSQL databases, social and conversational business intelligence, trajectory data analysis, precision agriculture.