SEASON 3 EPISODE 4
The Data Architect: Empowering the Public Sector with AWS Solutions
Hosted by Rhetta Chappell
Conversation with Saeed Barghi and Dr Tom Verhelst
Being a data-driven organisation means more than just delivering the right data to the right people at the right time; it involves ensuring that decision-makers have access to applications powered by machine learning models, trained with precise datasets, acting as digital assistants to guide their choices.
In this episode, we delve into how Amazon Web Services (AWS) help customers design and build fit-for-purpose data platforms to assist customers on their data journeys, featuring our guest, Saeed Barghi, a Senior Solutions Architect at AWS with a focus on the public sector within the Asia-Pacific and Japan regions. We discuss the importance of managing sensitive data through data masking, encryption methods and security, the cost benefits of transitioning to the cloud, and how AWS's innovative tools are revolutionising public sector operations. This includes using imagery analysis in managing US wildfires and enhancing customer service with artificial intelligence and machine learning powered chatbots. With over 15 years of experience in the design and construction of data platforms, Saaed's dedication to making a difference is evident as he shares how AWS is facilitating significant digital transformations.
If you have any questions or comments, you can reach us on Twitter at @G_RIDL or by email at ridl@griffith.edu.au. Griffith University and the Relational Insights Data Lab (RIDL) are dedicated to building and supporting thriving communities. We believe that the right data, in the hands of the right people, can change lives for the better. We are committed to collaborating and co-designing solutions which address long standing, complex socio-economic problems. If you or your organisation would like to collaborate or learn more about the important work we do, please get in touch. We'd love to hear why data matters to you.
Thank you for listening to Show Me the Data.
Show Notes