Artificial Intelligence Tools Power Digitization of Performers at Live Events

Explore how Artificial Intelligence technologies are transforming live events by enabling the digitization of performers, offering new creative possibilities for technical, general, and business audiences.

With the rapid advancement of Artificial Intelligence, live events are experiencing a transformation as new tools enable the digitization of performers. At GTC 2025, sessions are offered covering these innovative technologies, drawing interest from a wide spectrum of participants, including those interested in technical details, general trends, and business strategies. The event provides a platform for exploring the intersection of performance art and Artificial Intelligence, where digital representations of entertainers can lead to new creative and operational possibilities for the events industry.

Performers at live events are now able to leverage Artificial Intelligence-driven tools to create virtual avatars, simulate complex movements, and enhance audience engagement through digital interactivity. This not only opens the door for hybrid and fully virtual performances but also supports the documentation and preservation of artistic works in digital formats. Organizers and artists are keenly exploring these applications, as the technology promises to streamline production workflows, enable remote participation, and create spectacular visual effects previously unattainable in real time.

As highlighted by the GTC 2025 session catalog, interest in Artificial Intelligence for live performers extends across technical experts, business strategists, and general audiences. Attendees are encouraged to tailor their learning experiences by selecting sessions aligned with their specific interests, and participation is determined on a first-come, first-served basis. Ultimately, the growing suite of Artificial Intelligence tools for digitization signals a broader shift in live event production, with profound implications for both the creative process and event business models.

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