Building an ML foundation for AWS SageMaker & Amazon Forecast

Presented by

Michael Elliott, Executive Director of Marketing & Joey Brown, Sr. Cloud Consultant

About this talk

More organizations are leveraging machine learning for innovations and deeper insights into the business. It starts by building or modernizing the data and analytics foundation in order to better manage the flow and access of the data. Machine learning only works when you have reliable data, ML works better with lots and lots of data, and ML works the best with lots and lots of clean and real-time data. Join us for this webinar and demo to learn about the pillars for successful deployment of cloud data and analytics and how to leverage data to build machine learning pipelines. Agenda: • Modern data and analytics frameworks • AWS cloud data and analytics platforms • Building ML data pipelines using SageMaker and Amazon Redshift ML • Demo – ML use case deployment on Amazon Forecast

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2nd Watch is an AWS Premier Consulting Partner, Google Cloud Partner and Microsoft Azure Gold Partner providing professional and managed cloud services to enterprises. The company’s subject matter experts and software-enabled services provide companies with tested, proven, and trusted solutions with a focus on six solution areas: Enterprise Cloud Migration, Security and Compliance, Cloud Native and DevOps, Optimization, Data Engineering and Analytics, and Managed Services.