Based on the data extracted from the wearable health sensors and using ML algorithms, we will define a unique, digital and anonymized fitness signature. By using the fitness digital signature, the app will be able to offer a customized/customizable health insurance.
Hi Team, can't wait to have a chat and discuss about the details. I am very passionate about sport tech, sport analytics and will be more than happy to support!
Would love to hear more about how you leveraged SAS tools in this SAS Hackathon project. From the video I see that you used a lot of Python, but I didn't see any specific usage of SAS. So, please share how SAS helped, or didn't help, you complete the Hack. Thanks!
Thank you for your interest in our SAS Hackathon project and your question about our use of SAS tools.
While it is true that we utilized Python extensively in our project, we also leveraged SAS to facilitate data exploration and analysis in the initial stages of the project. Specifically, we used SAS to quickly load and explore large data sets, perform initial data cleaning and transformation, and generate visualizations to gain insights into the data.
In addition, SAS was helpful in mediating the connection between Python and other data sources and tools that we used in the project. We were able to easily integrate SAS with Python using the SASPy package, which allowed us to access SAS data sets and run SAS code within our Python environment.
Although we primarily used Python for the bulk of the development work in our project, we believe that SAS could be useful for certain aspects of the project in the future, particularly when it comes to deploying the project at scale. SAS has powerful capabilities for managing and processing large data sets, and its built-in security and governance features could be beneficial in a production setting.
Overall, we found that SAS was a valuable tool in our Hackathon project, particularly in the early stages of data exploration and in mediating the connection with Python. While we primarily used Python for development work, we believe that SAS has potential to play a role in future stages of the project as well.
Thanks for that added context, @MBrs! I love hearing the story behind the story - so thank you for illuminating more of your Hack process. I also agree that we should use the right tool for the job - and that is Python a portion of the time. As you noted, SAS Viya does have advantages when it comes to deploying projects at scale. So, it's great to hear how you are able to - and could be able to - move from tool to tool... because analytics is all about addressing interesting questions - with all the tools you have available.
