Bringing a human perspective to data integration, mapping and AI

In this episode, Matthew Stibbe interviews Markus Kolic from Sun Life. They dive into the rapidly evolving world of AI and data engineering, exploring both the hype and the hands-on realities within large, established organizations. The conversation begins with a look at the extraordinary possibilities around generative AI, while also acknowledging the current overexcitement and uncertainty. Markus discusses how true, long-term value will come from careful experimentation—often by small, innovative teams—rather than flashy marketing claims.

He then shifts to the challenges of integrating complex legacy systems in enterprise environments. The “Strangler pattern” is highlighted as a practical approach to gradually replace aging infrastructures with modern web-based applications. Markus stresses that success depends on well-structured data models, careful mapping, and documentation that evolves over time. Tools like CloverDX and version control platforms such as GitHub bring agility, transparency, and accountability to data transformations.

Ultimately, the conversation emphasizes that data engineering is about people and understanding their needs. Despite the complexity and chaos of new technologies, the end goal remains delivering meaningful, human-centered information that genuinely improves processes and experiences.

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Hosted by Matthew Stibbe from Articulate Marketing