Representative End User Clients
Representative Automation Clients
Representative Software Clients
The Industrial AI (R)evolution is well underway, but the path forward isn’t always clear. As I’ve highlighted in my recent blogs, the digital divide between leaders and laggards continues to widen. We've also explored the crucial role of partners in this journey, and the differing perspectives of IT, OT, and Business Decision Makers (BDMs) on the components of an Industrial Data Fabric. Today, I want to add another critical piece to the puzzle: leadership. Who is at the helm of your organization’s Industrial AI initiatives, and how does that vary according to IT, OT, and BDMs?
Diverging Views on AI Leadership
ARC Advisory Group's latest end-of-year survey provides some intriguing insights into this question. The survey reveals a mix of alignment and divergence across IT, OT, and BDM roles when it comes to who is leading their Industrial AI initiatives.
IT Managers Lead the Charge—Mostly: Across all three groups, IT managers are recognized as the most frequent leaders of Industrial AI initiatives. This is not surprising, given IT’s traditional role in technology implementation. However, the degree of IT leadership varies somewhat among the three groups, with OT showing a lower percentage for IT leadership than IT or BDM groups. This demonstrates that while IT is a key driver for AI initiatives, the operational reality is more complex.
BDMs Recognize the C-Suite: The survey data indicates that BDMs slightly favor the C-Suite, with CEOs or top-level management most frequently taking the lead in AI initiatives compared with other groups. BDMs look to the C-suite for leadership on Industrial AI initiatives because of the need for strategic alignment, focus on business outcomes, and cross-functional collaboration. Enterprise applications with integrated AI (See 2024 AI announcements by Infor, IFS, SAP, as examples) provide a glimpse of AI's potential, the C-suite's oversight ensures that AI investments are prioritized, aligned with overall business goals, and driven by the need to achieve tangible and measurable results.
The Decentralized Nature of OT: Interestingly, OT has a lower percentage of any one type of leader managing AI initiatives. This reflects a more decentralized and autonomous approach to AI implementation within operational environments. The specific requirements of OT-driven automation and control may not align with centralized IT systems which may also be why they favor manufacturing software and industrial automation partners when adopting AI into production.
The Rise of the Chief AI Officer
One notable trend highlighted in the data, and in my industry interactions is the rapid emergence of the Chief AI Officer (CAIO). These executive leaders are becoming increasingly prominent in industrial organizations as companies look for ways to manage and scale their AI initiatives. To gain a deeper understanding of this role, I encourage you to check out my recent conversation with Philippe Rambach, CAIO for Schneider Electric, "SPARC: The Emergence of the Chief AI Officer". He offers valuable perspectives on the strategic importance of the CAIO in driving Industrial AI adoption, and the importance of governance, ethical considerations, and alignment with overall business goals. In essence, the CAIO is both a visionary and a tactician, helping to set the strategic direction for AI and making sure that AI initiatives align with overall business goals.
Why This Matters to You
Understanding these differing perspectives on AI leadership is crucial for developing a successful AI strategy. It is imperative that companies ensure that all functions across the business are aligned in goals, approaches, and expectations for Industrial AI, including IT, OT, and the BDMs to make the most of the significant business opportunities the AI (R)evolution can provide. The digital divide that was outlined in previous research can only be addressed if organizations can act in a coordinated fashion.
The ARC Leadership Forum: A Convergence of Ideas
The ARC Industry Leadership Forum in Orlando, Feb 10-13, is the perfect place to delve deeper into these critical topics. We’ll be exploring these results and many others at the forum, where you will have the opportunity to share best practices, network with peers, and get expert insights from ARC analysts.
This is a great opportunity for IT, OT, and BDM professionals to learn more and share their perspectives on how to implement AI, and how to better align with each other to capture the new opportunities presented by Industrial AI. By understanding these different perspectives and leveraging collaborative strategies, organizations can unlock the full potential of Industrial AI.
Don’t miss this chance to network with industry leaders and experts, including technology vendors and industrial end users. Secure your spot now to attend the ARC Industry Leadership Forum, which is just around the corner. Register today to get on the right path with your Industrial AI strategy!
REGISTER HERE.
For ARC Advisory Group recommendations for navigating the AI Wars, and closing the digital divide by embracing Industrial AI, and governing and guiding major decisions about enterprise, cloud, industrial edge, and AI software, please contact Colin Masson at [email protected] and set up a meeting at the ARC Leadership Forum!