Trusted Data. Connected Systems. Better Public Service.
Traditional approaches to data management rely on physically moving and merging data from a variety of systems into a central repository, such as a data warehouse or a data lake. But this can be both expensive and time-consuming, and the data still needs further preparation for each analytical and operational use case, slowing down the ability of the business to innovate and respond to market changes.
The demand for data is growing rapidly. For Singapore to meet its digital goals of creating a thriving digital future, a new approach in the next-generation of data management will enable stakeholders to collaborate seamless to co-produce solutions and leverage AI-driven tools, while safeguarding the security and compliance of key digital infrastructure.
This panel discussion will delve into data governance & strategies, as well as workflows and analytics for AI-powered applications. Esteemed Public Sector leaders will share comprehensive knowledge of data governance & AI, enabling the audience to leverage these technologies to enhance public services, improve efficiency, and address complex challenges.
Key Takeaways
Attendees will gain a clear understanding of data governance & AI practices, equipping them with the insights and tools needed to drive innovation and improve public services.
This session will leverage Denodo's expertise in data governance & AI to create an approach that provides a solution for efficient end-to-end data management.
Participants will be empowered with comprehensive knowledge of data governance & AI, enabling them to leverage these technologies to enhance public services, improve efficiency, and address complex challenges.
