Siemens has been spearheading AI integration within industrial realms. In a recent interview featuring German Suvorov, profound insights into his role, experiences, and the future of AI in their domain were shared.

Suvorov's journey into AI began long before its mainstream emergence. He highlighted his background in industrial manufacturing, engineering software development, and entrepreneurship, revealing an early foray into big data for manufacturing optimization.

The discussion delved into Suvorov's critical role within the AI incubator, highlighting Siemens' commitment to innovation and organizational optimization. Notably, the conversation pivoted to the significance of AI in industrial settings, with Suvorov underscoring the critical need to find the sweet spot where AI complements traditional automation or human intervention.

The conversation further explored project challenges and failures, emphasizing the necessity of a strong business case and the ability to foresee potential obstacles.

When it came to measuring AI project outcomes, Suvorov stressed the importance of assessing return on investment (ROI) as the primary indicator of success. They also shed light on the evolving landscape of talent needs, emphasizing the demand for individuals skilled in merging data and subject matter expertise.

The interview concluded with insights into budgeting for AI projects, emphasizing that costs vary based on complexity and the availability of solutions in the market.

Overall, the dialogue provided a comprehensive view of AI's role in industrial settings, underlining the need for a robust business case, strategic planning, and interdisciplinary expertise to effectively navigate the evolving landscape. Hope you enjoy listening!

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