Productizing Data: An Executive Playbook to Turn Models into Revenue-Generating Data Products

Many organizations struggle to convert successful ML prototypes into scalable, revenue-producing data products. This episode gives senior leaders a practical playbook for closing that gap: how to define a product mindset for data, choose monetization models, embed operational SLAs and governance, and align GTM, pricing, and legal considerations so AI initiatives become sustainable business lines. Mirko walks listeners through real executive decisions—when to license vs. embed models, how to structure product teams and KPIs, required platform capabilities, and how to measure incremental revenue and margin. The episode focuses on trade-offs, common failure modes, and governance patterns that preserve trust and compliance while enabling commercialization. Actionable for CEOs, CDOs, Heads of Analytics, and product leaders, it translates technical possibilities into board-level investment criteria and a repeatable roadmap to scale data products from experiment to predictable income.Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions.Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.