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While the process of building AI models has become increasingly efficient, the real challenge lies in operationalizing them — deploying models into production and ensuring they consistently deliver measurable value. Traditional DevOps methods often fall short in addressing the complex, evolving nature of AI systems. That's why we have to search beyond its horizon - and there we can find the MLOps concepts.

In recent years, the lines between the automotive industry and the tech sector have started to blur. What was once a mechanical domain is now rapidly becoming a digital one. As vehicles become smarter, more connected, and software-driven, cloud technology is taking a central role in how the automotive world operates and evolves.  This shift is more than a technological update—it’s a fundamental change in how cars are designed, built, and experienced. From electric vehicles and autonomous driving to real-time route optimization and remote diagnostics, the future of mobility increasingly relies on cloud-powered solutions.