Take part in an inspiring discussion how Phoenix Pharma and Magyar Telekom harnessed cutting edge AI to redefine customer service—transforming operational efficiency and raising service performance from 60% to over 98%.

Take part in an inspiring discussion how Phoenix Pharma and Magyar Telekom harnessed cutting edge AI to redefine customer service—transforming operational efficiency and raising service performance from 60% to over 90%.

János Horváth-Varga is the Head of AI and Contact Center CoE at Magyar Telekom Enterprise Unit. Under his management the CoE developed Telekom CoMind, the generative AI platform for B2B customers providing secure and scalable agentic AI solutions. Before the GenAI boom, he was managing the team that created the first commercially successful voicebot solution in Hungary: Telekom Vanda.

János graduated as an IT engineer from the Technical University of Budapest. He began his career in 2001 as a software developer at Telekom. Later, he worked with IP networks, PBXs, and mobile security solutions. Since 2006, he has been involved with contact centers, first as an engineer, later as an architect. Since the launch of Telekom's Vanda in 2018, his main focus has been the corporate application of AI. His current focus is to make CoMind and custom AI applications a success both in Hungary and in the DT EU countries.

Horváth Varga János Magyar Telekom Ltd.-2026-02-09 132901

János Horváth Varga

AI CC Center of Expertise, Magyar Telekom Ltd.

Marik Csaba began his career at Magyar Telekom in 1999, subsequently gaining 22 years of experience in various IT roles within the telecommunications sector. In 2019, he was appointed IT Director at UPC Hungary. Following Vodafone's acquisition, he led the IT Integration and Transformation program at Vodafone Hungary. Since 2022, he has served as the IT Director of Phoenix Hungary Holding.

Marik Csaba PHOENIX Hungaria Holding Plc.-2026-02-09 132642

Marik Csaba

IT Director, PHOENIX Hungaria Holding Plc.

Marik Csaba

Sessions where Marik Csaba takes part

From legacy systems to AI-Powered customer service transformation