AI evolution shifts focus toward physical integration and data governance

The evolution of artificial intelligence is shifting toward ‘physical AI,’ which involves the integration of AI into robots, autonomous vehicles, and connected objects. Christophe Vaissade of Sandisk notes that this transition requires a move from centralized cloud computing to ‘Edge AI.’ To avoid latency issues in real-time decision-making, data must be processed locally on devices using high-performance storage technologies like NVMe SSDs.

For small and medium-sized enterprises (SMEs), the adoption of AI requires careful preparation. Experts from Grav-ITI emphasize that companies should prioritize data governance—understanding what data they own, how it is structured, and who has access—before implementation. Without clear objectives and organized data, AI can amplify organizational disorder and risks rather than increasing productivity.