It's about an example for the External Languages Contest 2025
You get almost any information about your databases in IRIS using the System Management Portal. After passing several levels, you often get a wide list of items, but the interesting ones are hard to find. The example takes the important numbers and visualizes them as a bar chart, showing the total size of DB, size of free space in the DB, and the free percentage. All just actual data, no accumulation or history.
How does work
There is an external Python code that connects to IRIS using IRIS Native API for Python. It connects to a local helper running in any namespace (default = USER) The result is stored by columns in a Global. This is transformed into a DataSet and feeds the bar chart. For improved readability, the x-axis is logarithmic The table of data received is a bypack. The visualization is provided by a very simple CSP page. Forcing the browser NOT to use an actual instead of the cached JPG was a bit tricky.
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This video explores the evolution and future of AI in healthcare, tracing the shift from traditional machine learning to emerging approaches centered on agency and generative AI. It showcases innovative work in predictive modeling using non-clinical data, such as healthcare interaction timestamps and supermarket shopping patterns, to detect early signs of disease, including ovarian cancer. It also covers the use of behavioral data collected through living labs to support diagnostics for conditions like Parkinson’s. The overarching goal is to develop "patient-ready AI" that addresses gaps in observability and care, reduces clinician burnout, and drives meaningful transformation in digital healthcare delivery.
Presenter: 🗣 Aldo Faisal, Professor of AI & Neuroscience, School of Convergence Science in Human & Artificial Intelligence
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