ML for Exploration with Amazon Sagemaker

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Presented by

Andriy Kusyy is a Lead Data Scientist at Softserve

About this talk

In this Digital Event, originally aired on June 18, 2020, Softserve explains how Amazon SageMaker eliminates most machine learning challenges by providing a fully managed ML infrastructure, tooling, and AutoML capabilities that empower state-of-the-art ML solution delivery in a time-efficient manner—and with minimal effort. Amazon SageMaker is an end-to-end solution that assists during all stages of the ML model lifecycle. Why join? If you are a Geophysicist/Geologist you will learn how using ML for data interpretation can speed up your first pass seismic interpretation leading to increased productivity. If you are a Data Scientist or IT Manager, you will learn how to set up an Amazon SageMaker environment for subsurface team members, and best practices for creating scalable systems that integrate with existing IT resources.

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