Pictured: Martin Prankl, founder of Stream1, together with Florian Schorn from TD SYNNEX – talking about AI, live streaming and the real use of technology in everyday business life.
It is precisely situations like this that show how our work is currently evolving. AI no longer just takes place in our livestreams, but is increasingly becoming a topic on stage itself. Martin is now a regular external speaker at events on artificial intelligence, private AI and digital communication – always with a clear focus on practice rather than theory.
The entry point often comes from what we do every day: live streaming. This is where we use AI very specifically, for example for live subtitles and translations, automated camera control or more efficient production processes. But it is precisely this that gives rise to further questions that are currently occupying many companies: How can AI be meaningfully integrated? Which solutions are GDPR-compliant? And what really works in everyday life – beyond buzzwords?
The presentations are therefore not about glossy slides or promises for the future, but about real experiences from the field. Functioning setups, concrete applications and honest assessments. From the use of private AI infrastructures to AI-supported workflows in day-to-day work – always with the aim of making tangible what is already possible today.
What makes these formats special is the combination of operational experience, technological understanding and direct exchange with partners and manufacturers. This creates a view of AI that is not theoretical, but applicable. And it is precisely this that strikes a chord with many companies that are currently dealing with the topic and looking for guidance.
The exchange afterwards is at least as important as the talk itself. Many of the most exciting conversations take place away from the stage – when ideas are taken further, experiences are shared and new approaches are developed. This is exactly where the real potential of AI is revealed.
For us at Stream1, this is a logical next step: not just using technologies, but also explaining, classifying and thinking about them. After all, AI is not a trend, but a tool – and the right way to use it will be crucial in the coming years.