Machine learning and deep learning, the subset of ML that enables computers to see, hear and understand, is not new: it’s a fast-maturing field. Every IT professional needs to understand fundamental tools in 2021. In this webinar we enable software developers, solutions architects, and DevOps to understand the must-have requirements for ML in today’s environment. This includes on/off-premises integration, computer vision, voice and language processing as well as the required terminology and roles for stakeholders.
Presenter: Kris Skrinak
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, and E-Commerce.
Find out more about AWS Training: The Machine Learning Pipeline on AWS