Room 325/326
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Hear how DoIT’s Research Cyberinfrastructure unit is harnessing the power of AI to open new avenues in data analysis, including for meteorological fact-finding. Discover how cutting-edge large language models (LLMs) like OpenAI’s ChatGPT 3.5 and 4.0 hold are poised to revolutionize the field of meteorology.
Attendees will:
- Explore a novel methodology that leverages LLMs to generate tailored analytical code for specific meteorological data sets
- Witness a compelling case study comparing findings from internet sources and LLM-generated analysis
- Learn how ChatGPT 4.0 can create reusable programs for data analysis, drastically reducing time and effort in coding and debugging
- Gain insights into the challenges and opportunities of utilizing LLMs in meteorological fact-finding
Presenter
Room 313
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Discover how the School of Medicine and Public Health (SMPH) implemented a secure data enclave using DevOps, Azure cloud computing and Microsoft’s suite of security tools. SMPH’s platform enables researchers, data engineers and data scientists to utilize resources like virtual machines, databases, OpenAI, data lakes and Power BI, all while protecting patient privacy. Gain insights into creating and scaling a secure computing environment in the cloud and learn about the platform’s capabilities.
Attendees will:
- Learn about the approach SMPH took in creating their secure enclave
- Hear about the various resources available within the platform
- Discover how the platform maintains patient privacy while providing access to powerful tools for research and analysis
- Gain practical tips about how to create and scale your own secure computing enclave in your IT environment
Presenter
