There is always room for AI that improves the quality of human life. In this case, we examine an artificial intelligence solution that is actually saving lives. For stroke victims, the length of the process from scan to treatment is often the difference between life and death. Today, many hospitals deal with preventable death due to processes that delay wait times for treatment of stroke patients. In this episode, I sit with David Golan (Co-Founder and CTO of Viz.ai), to discuss various topics including AI in healthcare, data acquisition from startups, how AI forces you to reevaluate workflows, and much more. If your company is looking to scale it's AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development. 01:39 How a stroke mimic inspired David's to build an AI to reduce healthcare system complexity 4:57 How strokes are caused and why patients experience delays in treatment 9:15 The genesis of Viz.ai – leveraging automation and deep learning to interpret scans 10:55 Working with physicians to determine best UI/UX 15:32 Determining the accuracy level required to deliver a high performing AI solution 17:38 Acquiring the data to train an ML model in healthcare 19:28 Solving challenges around data annotation 21:07 Great AI research vs great AI products 27:39 The importance of understanding customer workflow when developing AI solutions 29:41 Finding early adopters for the product 32:28 Favorite tech tool at Viz.ai 35:00 The people who have inspired David?

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