Remove AI Remove Citizen Data Scientist Remove ML
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How to Democratize AI/ML and Data Science with AI-generated Synthetic Data

KDnuggets

Synthetic data generation is a solution that allows citizen data scientists and auto ML users to quickly and safely create and use business-critical data assets. Benefits go beyond democratizing data access, and even those with privileged data access build synthetic data generators into their workflows.

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Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

AWS Machine Learning Blog

Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive action based on ML-powered insights. It also makes operationalizing ML models more accessible to individuals, without the need to write code.

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The Rise of Micro-SaaS: A Paradigm Shift in Data Science Solutions

Data Science Connect

The Role of AI and Machine Learning in Micro-SaaS Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of driving innovation in the Micro-SaaS space. Data scientists are drawn to Micro-SaaS tools that leverage AI/ML to automate and enhance complex processes.

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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning Blog

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.

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Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce.

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Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce.

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New – No-code generative AI capabilities now available in Amazon SageMaker Canvas

AWS Machine Learning Blog

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.

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