DT-ITS at job fairs and professional events

DT-ITS had a busy year, participating in seven job fairs and sponsoring nine professional events in four cities. Colleagues at the stands introduced the company to lots of interested parties and they were persistent in dealing with those who wanted to have a mobile plan upgrade with us, since the magenta T confused many.
What do you wish for as an IT professional?” was our slogan at the job fairs. As a booth activity, we had a unique claw machine, from which you could even catch a magenta goldfish. We visited the job fairs of the University of Szeged, Debrecen, Miskolc and Kecskemét. We also participated in the Jobverse (spring and autumn) events and the BME Career days in Budapest.
In addition to the job fairs, we were also present at several professional events this year. We have sponsored TEDxDebrecen, the PMI Art of Projects conference, the 2023 Business Ethics Awards, the HTE László Fekete Award, the Budapest BI Forum and we have become a member of the European Diversity Charter. We participated with booths at HUSTEF, Pollack Expo in Pécs and the European Language Cocktail Bar in Debrecen.
További hírek
Boomerang Employees: Why Do Some Professionals Return to a Former Workplace?
The latest episode of the Unmute All podcast explores a unique phenomenon: why do some professionals choose to return to a workplace they previously left? Guests Ferenc Fenyvesi and Csaba Fábián share their personal stories about what motivated them to leave, what...
What is a safer internet good for?
The internet is an essential part of our lives, providing instant communication, entertainment, and access to information. However, just like the real world, the digital landscape carries risks that require awareness and responsible behavior. This was the focus of a...
What is MLOps good for? – The backbone of scalable machine learning
MLOps, or Machine Learning Operations, has emerged as a crucial discipline in the world of AI. Unlike traditional software engineering, where deployment and monitoring workflows are well-established, machine learning projects often falter when moving from experimental...