
Data Product Platform Strategy
On-Demand
Witboost and Adorsys present the first webinar in a three-part series on Data Product Platform Strategy.
Organizations today face growing challenges with data ownership, quality and intelligibility, particularly in decentralized environments. Without a clear strategy, inefficiencies and inconsistencies arise, limiting data’s value and impact.
This session will explore how to get started with Data Products, why Data Product Management is essential and how to overcome the complexities of decentralization. We’ll also discuss building scalable platforms for Data Product Management and the key considerations in deciding whether to buy or build a solution.
Join us for expert insights and practical strategies to maximize the value of your data and lay the foundation for a successful Data Product strategy.
MEET THE SPEAKERS
Tim is a technology professional with a diverse set of skills and expertise. Currently serving as the Director for Information Management & AI at adorsys, Tim is an accomplished Enterprise and Information Architect. He specializes in API Management and is an expert in Information Management and Data Governance. Tim's passion extends beyond technical aspects, as he describes himself as a "People, Process, and Technology Lover" indicating a holistic approach to his work that encompasses both the human and technological elements of business. Outside of his professional role, Tim co-hosts the podcast "Tapas & Pretzels".

After earning a master’s degree in Telecommunications Engineering from Politecnico di Torino, Paolo specialized in distributed technologies, achieving top certifications in software development. He co-founded Agile Lab in 2014, where he serves as CTO, leading Operations and Architectures in Big Data and AI. Over the years, he has worked on complex Big Data projects across Europe.Since 2019, Paolo has emerged as a leader in Data Mesh and Data Strategy, driving six large-scale implementations, contributing to the community, and creating Witboost, a Data Product Management platform.
