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Your testing sucks – what should you be doing?

About This Webinar

Testing means different things depending on whether you are a scientist, engineer, manager or QA. Most testing in AI projects is rubbish. Validation metrics do not mean you’ve tested things thoroughly. You may not think that testing beyond that is your job, but the company relies on you to ensure what you produce is good outside of your sterile development environment.

In this session, we’ll look at all the places where you need to be applying testing thinking and what you should be doing. I’ll go through the skills and tools you need for every step of an AI project so that you won’t end up being one of those embarrassing failures in the news…

Who can view: People who attended or registered for the webinar only
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Janet Bastiman heads up analytics at fintech company Napier and has extensive experience in leading teams and building AI systems. With over 10 years experience at C-level, and a Ph.D. in computational neuroscience, she has taken abstract concepts to innovative sale-able products.

She’s passionate about demystifying AI concepts and holding the industry to account, particularly where systems are not properly tested.
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Attended (25)
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