AI Models as a Commodity and Why Data Foundations Decide Who Wins - with Guillermo B. Vazquez of SAP
The future of enterprise AI isn't about chasing the latest model—it's about building unshakable data foundations. In this episode, Guillermo B. Vazquez of SAP argues that AI models are now a commodity, meaning companies shouldn't fear obsolescence from new releases. Instead, the real differentiator is whether organizations have harmonized, compliant, and globally structured data—what he calls the 'blueprint' for AI readiness. He warns that without this foundation, even the most advanced AI agents will fail to deliver value. Drawing from his experience in aerospace and defense, Vazquez reveals that the most advanced companies are already investing in process standardization and a 'heat map' strategy: 95% of business processes should be standardized and maintainable, while only 5%—the truly unique, competitive ones—warrant custom development. The key insight? Don’t optimize for upfront cost; optimize for long-term adaptability. AI isn’t replacing human expertise—it’s amplifying it, especially for mid-sized firms that can now access top-tier knowledge at scale through AI-augmented tools. The race isn’t for the best model, but for the best foundation.
Treat AI models as a commodity—plug in new ones without fear of obsolescence if your data and processes are standardized.
Harmonize global data first, accounting for regional laws and access restrictions to create a clean, compliant data blueprint.
Use a heat map to categorize business processes: green (standard), yellow (slightly customized), red (unique, strategic—only 5% of total).
Prioritize maintainability over upfront build cost—custom systems that break with every software update are unsustainable.
AI agents will eventually automate adaptation of unique processes, making systems live, self-adjusting entities—like turning on a light without thinking about the power grid.
…and 3 more takeaways available in PodZeus
Welcome & Context: AI as a Commodity
Nick Gage introduces Guillermo B. Vazquez, SAP’s Chief Architect, and sets the stage for a discussion on AI’s commoditization and the foundational role of data in enterprise transformation.
AI Models Are Now a Commodity
“Once you have your foundational well-defined and you have the ways that you are automating with AI and making identity part of your core... It doesn't matter if someone comes in three days with a fantastic new model, you just plug and play it in that model. And it's now an advantage for you.”
Data Harmonization: The Non-Negotiable Foundation
“You need to invest in the harmonization of all your data, identify what I call in a global template mode, meaning what data is going to serve your global corporation and which data will need to reside where.”
The 5% Rule: Strategic Customization Over Build vs. Buy
“That's your success factor. Those will be, in our experience, and there are some academic research that support that, should be around 5%.”
The Future is Adaptive Systems: AI as a Self-Adjusting Agent
“That's when it's going to be the transformation. Right now, we are in the Flintstone era where we need to modify our systems. We're moving into the AI agent that will help you keep your unique advantages with these AI agents that think by themselves and execute the process by themselves and adjust.”
“That's when it's going to be the transformation. Right now, we are in the Flintstone era where we need to modify our systems. We're moving into the AI agent that will help you keep your unique advantages with these AI agents that think by themselves and execute the process by themselves and adjust.”
“I think all corporations should see them as a commodity because once you have your foundational well -defined and you have the ways that you are automating with AI and making identity part of your core... It doesn't matter if someone comes in three days with a fantastic new model, you just plug and play it in that model. And it's now an advantage for you.”
“And that's your success factor. Those will be, in our experience, and there are some academic research that support that, should be around 5%.”
Host
Guest
Guillermo B. Vazquez
person
SAP
organization
ERP
other
aerospace and defense
other
Emerge
organization
Edison Research
organization
RPT1
product
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