AI, Efficiency & the Quantum Leap: Future with Less Energy and more Impact

Artificial intelligence has moved beyond being an experimental tool to become a critical infrastructure for innovation and business competitiveness. But the exponential growth in its use has also brought a new challenge: how to make AI more efficient, sustainable, and profitable.

In this fireside chat, Roman Orus, Co-Founder of Multiverse Computing and a European leader in applied quantum computing, will share his vision on three key vectors for the future of AI:

The balance between cloud and edge: how models are evolving to operate in a more distributed manner, optimizing resources without sacrificing capabilities.

Sustainable AI: how reducing energy consumption — through model compression and optimized algorithms — is not only a response to the climate challenge, but also a direct path to improving business margins.

Quantum software in production: far from being a long-term promise, there are already real-world use cases in sectors such as finance, energy, and industry that demonstrate the tangible value of this technology.

A deep conversation about how to make the AI of the future not only more powerful, but also more conscious, scalable, and transformative.