What Is IoT Day?
Started as an IoT workshop within the SpliTech conference, the huge growth in the Internet of Things and Smart City applications and hardware has inevitably led to the growth of companies that support its development. IoT Day is a full-day event with free lessons, tutorials and exhibition space divided into three parts: practical workshops, lectures by diverse companies and Career Speed Dating.
Iot Day WORKSHOPS
The first significant event of SpliTech 2025 conference will be a whole IoT Day on June 16th. This special date is divided into different tutorial sessions, each one dedicated to a specific
IoT Topic:
1. NVIDIA – Fundamentals of Deep Learning
2. Edge-Aware Time Series Analysis with Deep Learning
Each session will combine the academic concepts with practical exercises in a hands-on approach that allows attendees the theoretical knowledge acquired. Finally, indications on the future development in each field will be explored.
Company Lectures
During IoT day companies will have the opportunity to present their recent achievements and present their current products/services with the focus in IoT. Attendees will have the opportunity to discuss with the company representatives and see their products at the exhibition area, also by creating new business opportunities!
Career Speed Dating
Speed dating between students and employers
Career speed dating is an event that gives each interested participant to discuss the potential of future collaboration with companies that will be present during IoT day event. Apply here to IoT day and, visit IoT day and talk to the guys from IoT field. Career speed date will take from 09:30-11:00 at the Faculty hall.
Event Schedule
This isn’t another day-long session repeating the things we know. We’ve designed and framed them well, so every minute introduces a new concept and a different point of view to adopt.
08:00
Registration
08:30 - B525
NVIDIA - Fundamentals of Deep Learning
08:30 - Hall
Career Speed Dating
10:30 - Hall
Coffee Break
Exhibition Sessions
11:00 - A102
Company Lectures
13:00 - Hall
Lunch
14:00 - B525
Edge-Aware Time Series Analysis with Deep Learning
Organisers
Our Sponsors
