A.I. Symposium Response

 The symposium started with a presentation from Dr. Abouzahra. It mentioned some of the possible applications of A.I. in healthcare. However, he also listed some of the challenges. One challenge that resonated with me was the need for several countries with different demographics, diets, habits, etc. to combine data for better performance of A.I. tools. Particularly when it comes to diet, I feel U.S. doctors make well-meaning assumptions about the healthiness of traditional ethnic diets without knowing how healthy they really can be (with the right choices and proportions like any other diet). Dr. Abouzahra also demonstrated how A.I. responses can be tailored in language and tone for the end-user (for patients or doctors for example).

Dr. Hsu’s presentation was about how A.I. tools can help meet the challenges of an aging demographic and short supply of health practitioners in many countries. I thought it was interesting to hear his example about how eye exams performed with the help of A.I. can help general practitioners diagnose an eye condition that would usually have to be handed off to eye specialists for evaluation. It saves the busier specialists much needed time.

Emma Young gave a presentation on her company’s A.I. tool, which offers predictions about patients’ health based on data. It identifies bad health trends in people early, even if they are technically classified as “healthy”. It gives them a chance at early intervention before their health worsens.

Craig Vachon’s presentation talked about how A.I. can be used to manage several factors involved in producing renewable energy. He described how one such solution can give companies instant feedback to save them money and help maximize production.

Dr. Lee talked about how A.I. can be used to tackle the issue of climate change. She gave examples about how it can be used to interpret cloud problems or forecast extreme weather. She also mentioned how traditional climate models take too long to predict changes compared to A.I., which can often make similar predictions in seconds.

Dr. Chang talked about ESG data management in manufacturing. Specifically, she mentioned how the manufacturing process utilizes both operational technology and information technology, and how merging both of these to produce ESG data can be challenging due their inherent differences.

At the end there was a Q&A session with all the speakers.

Overall there were a lot of interesting presentations at the event. Personally, I found the health-focused presentations to be the most exciting. I feel like the discussion in the Q&A session also seemed to center around the healthcare field.


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