Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
https://www.ibmbigdatahub.com/tag/7039
episode 37: Amy discusses data analysis and models used in the science of fires
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Abstract
Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
This week on Making Data Simple, we have Amy McDermott. Amy is a science journalist at Front Matter, the magazine section of PNAS (Proceedings of the National Academy of Sciences), where she covers new and emerging research. Her background spans ecology and journalism: she has an MA in conservation biology from Columbia University and a graduate certificate from the UC Santa Cruz Science Communication Program.
Show Notes
4:20 - Amy’s background
7:25 – Amy summaries the stories on fires
11:21 – What does the data suggest about fires?
12:04 – Are there computer models on fires?
17:35 – Real world example of how models are used
19:44 – How accurate is the data?
24:25 - Examining the data
28:35 - How do you define success?
29:55 – Amy’s passion
Amy McDermott - LinkenIn
Front Matter
Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.