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Online webinar

MLOps con il pilota automatico

SageMaker Autopilot e Snowflake External Function: un'integrazione da medaglia d'oro
Joint Webinar - Quantyca, Snowflake & AWS

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Abstract

Often building Machine Learning (ML) pipelines can be complicated due to the tools and in-depth technical knowledge required to make and deploy the right forecast models.

 

AutoML systems provide a black-box solution to these problems looking for the right way to process and select features, choosing an algorithm and performing hyperparameters  fine-tuning of the entire pipeline.

 

It is possible in the end, for a wide range of users, to exploit all the power of predictive analysis even without a deep machine learning experience by recalling these AutoML systems even from non-canonical model development environments, such as a DWH query shell.

 

What we will talk about

In this webinar we will talk about how it becomes increasingly important and strategic to reduce the gap between the experimentation environment and the use of a chosen analysis model in a business process that involves advanced data analysis. 

 

The integration of AWS SageMaker Autopilot functions in Snowflake allows you to reduce this gap, bringing close to the organized data an analysis environment suitable for experimenting, creating and then making accessible models designed for a given business case.

 

 

Then we will see together in a demo this winning integration between AWS and Snowflake at work.

 

 

Main topics

  • MLOps
  • Serving ML models
  • AWS SageMaker Autopilot
  • Snowflake External Function
  • Demo

 

 

Target audience

This webinar is designed for CIOs, Data Architects, Data Engineers and business users of medium and large companies.

 

Contacts

For any information contact us at comunicazione@quantyca.it

 

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Risorse e materiale

Documento pdf
Slide Deck - Webinar MLOps con il pilota automatico
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Speakers
Fabio Moretti
Data Analytics Lead, Quantyca
Lorenzo Tagliaferri
Senior Sales Engineer, Snowflake
Giuseppe Porcelli
Principal, ML Specialist SA, Amazon Web Services (AWS)