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Pre-Sales Engineer

Zappix

The company utilizes cutting-edge cloud-based technology, including AI, Robotic Process Automation (RPA), IVA and bots, Actionable Analytics and reports leveraging Big Data, and more. The post Pre-Sales Engineer appeared first on Zappix.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process. One aspect of this data preparation is feature engineering. However, generalizing feature engineering is challenging.

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning

About the Authors Bruno Klein is a Senior Machine Learning Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data and analytics solutions. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

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Guest Post: The Relationship Between Cloud ERP and Big Data

Natalie Petouhof

Enterprise resource planning (ERP) within the cloud is the engine utilizing data produced on the plant floor to power manufacturers. Cloud ERP gives manufacturers more precise and real-time data. Big data is popular amongst business intelligence and analytics applications.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning

In this post, we describe how we reduced the modelling time by 70% by doing the feature engineering and modelling using Amazon Forecast. The vast array of models and the sophisticated feature engineering capabilities offered by AWS Forecast proved more advantageous and optimized our resource utilization.