AWS Machine Learning Blog

JULY 29, 2024

In Part 3 , we demonstrate how business analysts and citizen data scientists can create machine learning (ML) models, without code, in Amazon SageMaker Canvas and deploy trained models for integration with Salesforce Einstein Studio to create powerful business applications.

AWS 122

AWS AI AI ML 122

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code. Lijan Kuniyil is a Senior Technical Account Manager at AWS.

ML 119

ML ML AWS AI 119

AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

AWS 128

AWS Citizen Data Scientist AI AI 128

AWS Machine Learning Blog

NOVEMBER 2, 2023

SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. Always working backward from customer problems, Indy advises AWS enterprise customer executives through their unique cloud transformation journey.

ML 130

ML ML Citizen Data Scientist Machine Learning 130

AWS Machine Learning Blog

NOVEMBER 27, 2023

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. Partner Solutions Architect at AWS.

ML 96

ML ML AWS SQL 96

ODSC - Open Data Science

MAY 25, 2023

Ludwig, an open-source framework, allows citizen data scientists to specify advanced machine learning pipelines using a low-code approach. On the engineering of Social Values Carles Sierra, PhD, Director, Artificial Intelligence Research Institute Finally, we have this session which will explore the field of Ethics in AI.

Machine Learning 52

Machine Learning Machine Learning Data Science Citizen Data Scientist 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. As we move forward, several emerging trends are shaping the future of Data Science, enhancing its capabilities and applications.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52