Audience Opinion Piece

By Max Davis Forte, Former Vice President Special Projects, Brose North America

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What impact is AI having within your business, and how is it being applied or planned for the future?

AI is becoming a core enabler across the entire value chain—from predictive maintenance and automated inspection to demand forecasting and smart scheduling. We’re moving from isolated use cases to integrated strategies, including the use of generative AI for knowledge management and digital twins for production optimization. AI is no longer just a tool; it has become a business imperative.

That said, I strongly believe AI still has to show its full potential—especially in large-scale, complex industrial environments. Most current solutions are decentralized, making it incredibly challenging to fully integrate AI across mega-operations with multiple systems, legacy platforms, and global footprints. Achieving a state-of-the-art, unified “data cortex” that can operate at scale across such environments will take years and require strong governance, architecture, and cultural change.

Interestingly, this complexity creates an opportunity for smaller players. New entrants, unburdened by legacy systems, can adopt AI-native models from the outset and gain a competitive edge much faster. We're entering a fascinating period where massive incumbents are pivoting toward an AI-driven mindset while agile newcomers are embedding AI from day one. The question is: who will master the transformation first and define the next wave of competitive advantage?

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What were some of the biggest lessons you’ve learned as you’ve grown as an innovation leader in the manufacturing industry?

The biggest lesson is that innovation must be anchored in business outcomes and cultural transformation. Technology alone doesn’t solve problems. You need clear ROI, executive sponsorship, cross-functional alignment, and a workforce that is both empowered and prepared for change.

In addition, two personal lessons stand out to me. First, the importance of resilience in the face of failure—and the courage to initiate projects even when not all the data is available. Often, as leaders, we must make critical decisions based on incomplete information. For example, this is usually the case when deciding what to measure in the early stages of a digital transformation. It’s common to make initial mistakes, and that’s part of the learning process.

Second, I’ve learned to always trust in the strength of your team. Combining the right technology with a group of talented, committed people significantly increases your chances of success. But even with the best tools and the best team, failure can still happen. That’s why creating a culture that embraces experimentation, learns from setbacks, and continuously adapts is essential for any innovation leader.

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Which emerging technologies are you most excited about, and which do you think are set to make the most significant changes to the way we manufacture?

I’m most excited about the convergence of generative AI with industrial systems—enabling adaptive learning, smart automation, and real-time simulation. Technologies like digital twins, edge AI, and autonomous quality inspection are reshaping how we manufacture by making operations more predictive and resilient.

Another major shift lies in the centralization of manufacturing data across global operations. When combined with large language models, this unified data architecture can provide decision-makers at all levels with real-time, conversational access to insights—helping teams compare performance across plants and optimize systems faster.

We're also seeing breakthroughs in AI-powered process simulation, computer vision, reinforcement learning, and causal AI—all of which are contributing to a new era of intelligent, self-improving factories. The key will be integrating these tools into a strategic framework that empowers people as much as it allows machines.

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How do you stay informed about the latest technological advancements and trends relevant to the manufacturing industry?

I stay informed through a combination of executive networks, specialized media, and active engagement with the innovation ecosystem. Industry events like MX.0, partnerships with technology providers, and academic programs keep me exposed to cutting-edge developments. I also follow thought leaders in the sector who consistently share strategic insights on AI and industrial transformation.

As a board member at SAE Brasil, I have access to SAE International events and publications, which are valuable sources of technical and strategic knowledge, especially as they relate to the mobility and manufacturing sectors. I regularly engage with startups and innovation labs, particularly in AI and automation, to stay close to emerging technologies and disruptive thinking.

In addition, I follow key publications focused on Industry 4.0, AI in manufacturing, and digital transformation—ensuring a continuous flow of insights. Ultimately, it's this combination of events, specialized media, peer networks, and direct engagement with innovators that helps me stay ahead in a fast-evolving landscape.
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In your opinion, what are the most crucial skills and qualities that manufacturing leaders need to possess in the digital age?

Manufacturing leaders today must possess a blend of strategic vision, data literacy, and the ability to translate technology into tangible business value. Equally important is strong emotional intelligence and the capacity to foster effective collaboration across IT, OT, and business functions—breaking down silos and building trust.

Resilience is also critical. The pace of change is intense, and leaders must be able to navigate uncertainty while keeping their teams focused and motivated. They must be champions of cultural transformation—capable of inspiring talented individuals who not only understand advanced technologies but are also willing to embrace new ways of working.

In the end, success depends on a leader’s ability not just to manage change, but to lead it—aligning people, processes, and technologies around a clear, future-oriented vision for innovation and competitiveness.

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