AI + IoT: Building Smarter Industrial Systems

AI gets a lot more useful once it's paired with real-time data, and that's really the role IoT plays. Connected sensors and devices are constantly generating operational data — machine performance, environmental conditions, equipment status — and that steady stream is what lets AI models actually detect patterns, predict failures, and support faster decisions instead of working off stale reports.
This pairing is behind a lot of the current innovation in predictive maintenance, asset tracking, inventory management, and industrial automation. But the harder part isn't the technology itself — it's building something that solves an actual operational problem on the ground and can scale across sites, equipment types, or facilities without falling apart.
While looking into this, I found Aperture Venture Studio(https://apertureventurestudio.com/) useful for understanding how AI and IoT get applied in building out practical industrial ventures, rather than staying at the concept stage.
Curious how others see this playing out — where do you think AI + IoT has the most room to reshape industrial software over the next few years?