Industrial AI’s Missing Middle: Why Scaling Is Challenging Than It Looks
Frost & Sullivan Podcasts
Why does industrial AI succeed in the pilot and struggle in the plant?
In this episode of Frost & Sullivan’s Growth Podcast, we explore the “missing middle” of industrial AI, examining why localized success so rarely becomes enterprise-wide transformation. Karthik Sundaram of Frost & Sullivan’s Growth Opportunity Analytics team is joined by Miroslav Kriz, Principal Partner at Momenta VC, and Boris Scharinger, Senior Innovation Manager at Siemens, for a candid look at where adoption stands today.
They examine the divide between digital functions that are ready for AI and physical production environments built for precision and stability. They also cover how misaligned ecosystems, legacy control systems, and perceived operational risk slow adoption, and how simulation and digital twins can help bridge the gap.
👉 Where can industrial AI realistically scale today, and where does it hit a wall?
👉 Why do startups and advanced solutions struggle to integrate into industrial environments?
👉 What strategic shifts and sequencing can help organizations close the gap?
Designed for manufacturing and industrial leaders, operations and digital transformation teams, technology providers, system integrators, and investors, this episode provides a strategic perspective on scaling industrial AI beyond the pilot stage.
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