Why AI for Industry is Entering Its Most Important Phase
The global industrial AI race is no longer theoretical. After years of early trials and hype cycles, we are now seeing large-scale deployments that deliver measurable results. This is the moment where Machine Learning AI is moving from niche applications into mainstream operations.
In a recent article by the prominent German weekly magazine DER SPIEGEL titled, “Don’t bury your head in the sand, Audi, Siemens and Bosch aim to become world leaders in AI”, by Martin Hesse and Timo Schobera, these global industrial leaders paint an optimistic view of AI adoption. It contrasts sharply with the negative narratives that dominate some headlines. The reality is that AI is solving complex, real-world problems, creating safer workplaces, reducing costs, and enabling efficiencies that were once thought impossible. The opportunities for higher productivity and automation in industry are evolving fast.
At Unleash live, we see this acceleration firsthand. Our partnerships with industry leaders like ABB, Siemens and Hexagon are proof of how collaboration accelerates impact. As the first computer vision leader on the Siemens Xcelerator ecosystem, we integrate advanced video analytics into industrial workflows, giving operators real-time insights to detect anomalies, prevent downtime, and improve asset performance. With ABB, our joint work leverages AI-driven analytics for safer, smarter energy and infrastructure management.
“The power of these partnerships is that they combine our rapid innovation with the scale and credibility of global industrial leaders. It is how we turn advanced AI into operational reality for enterprises anywhere in the world,” says Hanno Blankenstein, CEO of Unleash live.
Australia does not have the same depth of heavy industrial manufacturing as some European and US markets, however the large scale infrastructure segments such as mining and resources, electricity generation and transmission, transport and aviation lend themselves for deploying and scaling advanced AI. This also means Unleash live’s growth and client base is inherently global. By partnering with established players in Europe, North America, and Asia, we can deploy our technology at scale and bring that experience back to local markets. It is a model that lets us operate at the cutting edge while ensuring Australian industries still benefit from the most advanced AI capabilities available.
Our technology approach matches the direction outlined in this insightful article. By focusing on a flexible, interoperable architecture, we can connect to existing video infrastructure, whether it is drones, fixed cameras, or mobile devices. The system is designed for rapid deployment, on the edge or in a private cloud with low latency, and real-time decision-making. This is critical for industries where every second counts, such as energy utilities, manufacturing plants, and transport networks.
Examples of impact are already here. Utilities are using our AI models to identify faults before they cause outages. Renewable operators are monitoring wind farms for component wear without sending teams on dangerous climbs. Mining operators are improving site safety by detecting hazards in real time.
The race is only just beginning. As more industries understand that AI is not a distant concept but an operational necessity, the adoption curve will steepen. Those who delay risk are being left behind, not because the technology is unproven, but because the competition is already reaping the benefits.
For Unleash live, this is both an exciting and defining period. We will continue to align with global industrial leaders, invest in scalable AI solutions, and prove through use cases that the benefits are real, measurable, and here today.
The conversation should not be about whether AI will transform industry. It already is. The question now is how quickly each sector will adapt and how ready they are to compete on a global stage.