Recorded on: Thursday, September 16 @ 2:00 p.m ET
In this Webinar, Christian Kasim Loan will teach you how to leverage the hundreds of medical State-of-the-Art models for various Medical and Healthcare domains in 1 line of code like Named Entity Recognition (NER) for Adverse Drug Events, Anatomy, Diseases, Chemicals, Clinical Events, Human Phenotypes, Posology, Radiology, Measurements, and many other fields plus the best in class resolution algorithms to map the extracted entities into medical code terminologies like ICD10, ICD0, RXNORM, SNOMED, LOINC, and many more.
Additionally, we will showcase how to extract the relationship between predicted entities for the Posology, Drug Adverse Effects, Temporal Features, Body Party problems, Procedures domains, and how to De-Identify your text documents.
Finally, we will take a look at the latest NLU Streamlit features and how you can leverage them to visualize all model predictions and test them out with 0 lines of code in your web browser!
Christian Kasim Loan - Data Scientist and Spark/Scala ML Engineer
Recorded on: WEDNESDAY, SEPTEMBER 22 @ 3:00 p.m ET
Utilities have long spent considerable time, attention, and treasure on vegetation management, often yielding disappointing or catastrophic results.
California utilities, for example, have been responsible for several deadly and costly fire events, despite spending more than 1B dollars per year on utility vegetation management.
While this issue has received widespread public and utility industry consideration, very few approaches are available that are scientifically accurate, up-to-date, and scalable.
This webinar shows how OmniSci enables organizations to orient big geospatial data toward advanced vegetation management and efficient risk mitigation.
Specifically, we’ll explore the cross-section of tree health & mortality, electrical transmission lines, weather, and the probability of four and eight-foot flames across California.
Antonio is a passionate geographer that helps people around the world maximize their geospatial data, mapping technology, and spatial analyses to make critical decisions for their customers and community.