Transformation to a Data Product Organization

For the vast majority of organizations, investments made on AI have not led to meaningful performance improvements. Companies still struggle to scale promising Data science proof-of-concepts. One of the main reasons is due to the cultural aspect of how the company is organized around data. By focusing on technical capability of data management which are infrastructure driven – acquiring, storing and consuming data, has diminished the focus from the higher objective – treating data as a product. This talk walks the audience through the journey at Daimler Trucks and provides some key insights on the dimensions of Technology, Working practice and Organizational enablement of this transformation.



Vinoth Kumar Kannan, Lead Data Architect @ Daimler Truck AG

Vinoth is an accomplished Data & Cloud Architect and Product Leader with over a decade of hands-on experience with large-scale distributed systems, Big Data, and Cloud technologies. As a Result-oriented thought leader, he has a track record of strategizing, designing multiple Advanced Analytics platforms, and building teams that drive value from data investment that matters. As a data architect, he has built several data platforms and credited with the design & global roll-out of the industry-leading AI platform in the Cloud for Daimler AG.

Currently, as the Lead Data Architect, Vinoth is responsible for the Smart Data Layer solution which aims at providing clean and well-engineered data products on the Microsoft Azure platform enabling Advanced Analytics & AI for Daimler Trucks & Buses.