The users of a modern data & AI platform can be very different with their individual needs in terms of development productivity, performance, user-friendliness and, of course, the use of the latest ML & AI technologies. In this talk, we will take a closer look at three user types: DATA PRODUCT BUILDER - as a technologist, is interested in quickly converting technical requirements into intuitively usable data products. Access to all relevant data, high-performance pipelines, data quality and professional presentation/management of data products are important success factors here. CITIZEN DATA SCIENTIST - as a business user, prefers to analyze specific questions "at the speed of thought" and appreciates the ease of use of data products and ML/AI functions. ML AND APPLICATION ENGINEER - helps to put an AI experiment/MVP into production, e.g. in the form of an intelligent, scalable app. The focus here is on the ability to use suitable software/frameworks (on a container basis), apply MLOps practices and operate the entire solution securely. How well does the Snowflake perspective fit your company's data strategy? The Snowflake team on site is looking forward to numerous and lively discussions after this talk!