Building Predictive Solutions with Time Series Data

Date: 
21 January 2027, 09:00 – 13:00 (CET)
 
Price: 
Free (for eligible participants)

Format: 
In-person training
 
Target audience: 
Industry, public admin, academia

Language: 
English
 
Organizer: 
AI:AT

This interactive workshop teaches participants how to transform time series data into actual knowledge and insights that can be used to drive business decisions, from predicting product sales to improving the lifespan of technical machinery.
Time series data is all around us — from financial markets and customer behavior to energy consumption, industrial operations, and environmental monitoring. Hidden within these sequences of observations are patterns, trends, and signals that can help us understand what has happened, anticipate what may happen next, and make business decisions. But how do we turn raw historical data into reliable predictions and practical forecasting solutions?This workshop explores the process of building predictive solutions using time series data, taking participants through the key stages of a building forecasting pipelines, with multiple real-life examples.Whether you are a business owner, manager, data scientist, analyst, developer, researcher, or simply interested in the practical applications of forecasting solutions, this talk will provide a clearer understanding of how time series forecasting works and how it can be applied effectively for your custom use case.
Learning outcomes:

Learning the basic theoretical aspects about time series forecasting
How to develop models for time series forecasting
How to build an end-to-end time series forecasting pipeline and transform data into business insights

Target audience
Professionals interested in Machine Learning, Time Series Data, AI and Forecasting, with or without coding experience.
This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
No prior knowledge is required, but coding experience is advantageous.
Agenda

12:50
Arrival

13:00
Welcome & The basics of time series forecasting

13:40
From data to insights – 3 practical examples

14:20
Break

14:30
Interactive Exercise 1

15:50
Break

16:00
Interactive Exercise 2

17:50
End of course

Speaker
Mihai Cata              Eng. Mihai Cata works as an AI Engineer at AI Factory Austria AI:AT, building internal AI products and helping companies to integrate the latest AI technologies into their products. He has 7 years of experience in building AI solutions, a background in Computer Science and Data Science, previously cofounded a MedTech AI Startup (Synaptiq) and grew it from 2 to 18 people.
Location
In-person training
AI Factory Austria AI:AT, Kitchen areaKarl-Farkas-Gasse 221030 Wien
Registration
Registration is required, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.
You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will also send 1–2 reminders before the webinar.
Please do not hesitate to contact us at [email protected] if you have any questions.

Organizers

This webinar is organized by AI Factory Austria AI:AT.
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).

https://events.asc.ac.at/event/377/