Heineken’s AI evolution: Brewing insights with IBM and a modular stack

With over 160 years of brewing tradition, Heineken faces the challenge of modernizing its distributed enterprise without losing its local essence. Artificial intelligence (AI) and data technologies are providing a promising pathway, but success depends on pairing these tools with clear business objectives and connected intelligence.

Ronald den Elzen, Heineken’s Chief Digital and Technology Officer, emphasizes that the shift from merely collecting data to extracting actionable insights is key. ‘It’s about unlocking the data’s value, focusing on areas where data can truly make a difference, such as understanding consumer behavior, spotting trends, and optimizing marketing spend,’ he explains.

During IBM Think 2025, den Elzen discussed Heineken’s approach to harnessing data and architecture to support both global scale and local relevance. The company developed a modular, stand-alone data stack outside its legacy systems to enable rapid experimentation and innovation while safeguarding against technical debt.

Heineken’s strategy involves harmonizing core platforms for efficiency while allowing flexibility for local market adaptations. ‘How can we combine being close to our consumers with the power of scale? We standardize where it matters and allow customization where we need to excel,’ says den Elzen.

IBM plays a crucial role in supporting Heineken’s digital journey, from data management to AI deployment. ‘They help us clean, harmonize, and build on our data infrastructure, and now they support us with AI and generative AI to work smarter and more cost-effectively,’ notes den Elzen.

Scaling local relevance with connected intelligence

Heineken’s decentralized market structure was once an asset, enabling agility. Today, it presents challenges in scaling AI technologies. The company aims to harmonize its systems to retain local market agility while leveraging global scale. ‘The goal is to be local where it counts, but with a unified, scalable technical backbone,’ explains den Elzen.

The modular approach allows Heineken to innovate quickly and adapt to evolving technology landscapes, crucial in today’s fast-changing environment. Security and data privacy remain top priorities, with IBM assisting in maintaining these standards across the digital backbone.

The future of AI and industry challenges

While AI presents vast opportunities, it also raises concerns about market dominance, transparency, and industry resilience. The trend of vertical integration—covering hardware, infrastructure, and data—can centralize power and create barriers for smaller competitors, potentially stifling innovation and increasing risks.

Moreover, the shift toward vertical integration often leads to increased opacity in organizational practices, complicating oversight and regulation. The push for deregulation could further amplify these issues, intensifying concerns around data privacy and organizational accountability.

As AI continues to evolve, industry leaders emphasize the importance of maintaining transparency and ensuring inclusive innovation. Heineken’s recent steps exemplify how global companies balance technological advancements with responsible governance, setting a standard for others to follow.