Chimène Bonhomme - Enough Data Science to be Dangerous

In this episode I have the good fortune to spend some time with Chimène Bonhomme - A Data Scientist and Technical Solutions Professional at Microsoft New Zealand. Chimène lists a Masters of Information Technology, Business Intelligence and Data Science, as well as a Bachelor of Health Science, Medical and Molecular Biosciences as two of her many amazing achievements. In this episode I ask Chimène for her perspective on Data Science, Machine Learning and Artificial Intelligence, asking the question: How much data science is "enough to be dangerous"?

Show links:

• Microsoft Azure Machine Learning Studio
• Microsoft AI School
• Data Science Virtual Machines on Microsoft Azure
• Deep Learning with Python by François Chollet (O'Reilly)
• AI for Good with Microsoft Artificial Intelligence
• Seeing AI - Talking camera app for those with visual impairment
• Microsoft Soundscape - A map delivered in 3D sound
• Turing test (Wikipedia)
• With great power comes great responsibility (Wikipedia)
• Microsoft Fast Track for Azure

From Microsoft New Zealand, this is Azure Lunch. A podcast about Microsoft Azure in short digestible chunks, where we discuss cloud computing from a Kiwi perspective with Architects, Engineers and Technical specialists from around the world.

Azure Lunch is sponsored by Microsoft Fast Track for Azure - a team of Engineers and Program Managers dedicated to helping you to be successful in Azure. Learn more at Azure.com/FastTrack.

Thanks to SilverWHK for the use of his music in our podcast: https://silverwhk.bandcamp.com

Daniel Larsen and guests are employees of Microsoft. The opinions expressed in this podcast are their own and not an official company statement.