The event will create a unique network for gaming professionals, studio executives, and decision-makers in Europe. Make Pandora your next annual go-to place for like-minded game developers.
Topics include:
- Analytics in Gaming, with a focus on tools, reportings with visualization, and analytics role in decision making regarding Finance, Marketing & Game Development;
- Realistic interaction, powered by Natural Language Processing, text analytics and chatbots technology, with the goal of creating an environment where players can interact with other characters in a more realistic manner.
- AI-powered NPCs, with a focus on the latest AI tech & use cases used to create a more immersive and realistic gaming experience for players;
- Dynamic Universe Creation, with the focus of ML role in speeding up the process of the creation of the ‘open-world’ in games that allow the player to interact with the environment.
We are going to host speakers from organizations such as: Nordeus, 3Lateral, Two Desperados, Mad Head Games, A MAZE Berlin, Metropolitan University, GameChuck and others. To register, sponsor or attend Pandora, go to: www.pandoraconf.com.
Pandora is a co-located event of DSC Europe 22 – Europe’s biggest AI&Data Conference, which gathers over 10.000 online & 1000+ Live Data Lovers, who are going to listen to over 250 world-class speakers during the span of 5 days. Pandora is officially supported by Creative Tech Serbia supercluster.
Data Science Conference (DSC) is one of the leading Data & AI Franchises worldwide, organized by Data Universe, Ltd. It is a multidisciplinary conference operation with abundant internationally recognized keynotes, presentations, discussions, workshops, and hands-on tutorials. Since 2015, DSC has organized events and has reached over 30.000 attendees from more than 100 countries. DSC has partnerships with more than 200 companies, 100 professional communities & 50 academic institutions, reaching out to more than 5.000.000 data & AI enthusiasts worldwide.
DSC’s motto is Change the World Through Data.