In some companies, data & ML *are* the business. Others are pursuing more or less ambitious strategies to turn data & ML into a competitive advantage. This talk focuses on how data product management can help the latter.
One of the key difficulties in the execution of those strategies is bridging the gap between “data people” and “business people”, to identify the highest potential data products. On the one hand, data people need to deeply understand the user and business problems, to be able to propose effective solutions and gain trust. On the other hand, business people need to get a rough sense of what is possible with the available data and ML technology, to prioritize which problems to address. It is a chicken-and-egg problem.
Join me to discover my three-pronged data product strategy to effectively break this deadlock and unleash the most valuable data products for users and the business with concrete examples from my past.