COVID-19 has put the world in a period of prolonged crisis. Returning back to the workplace remains a distant goal for many businesses. To help companies survive this crisis, many companies are implementing AI & Machine Learning (ML) practices to drive more accurate and efficient business decisions in a time where technology is key to business continuity. In this podcast, Kris Skrinak, Global Machine Learning Technical Lead at AWS, is with us to discuss what Machine Learning is all about, its application in business, and how the AWS ML stack can help simplify ML application development.
Kris Skrinak is the Global Machine Learning Technical Lead for the Amazon Partner Network ("APN"). He co-founded the Machine Learning group for the APN in 2017. Kris started his career as a Quantitative Strategist at Goldman Sachs, developed predictive maintenance apps as an AI Engineer at ATT, and prior to Amazon was Computer Vision Architect at GoPro. He founded and sold 2 Silicon Valley startups in Finance and Network Monitoring: ClearStation and SiteRock. As the technical lead for horizontal support of AI/ML he's the 1st line of support for AWS Partners looking to develop or expand their use of these technologies across all markets including Finance, Healthcare and Life Sciences, Public Services, Telecommunications, E-Commerce.
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