Remove Citizen Data Scientist Remove Machine Learning Remove ML
article thumbnail

How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.

article thumbnail

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.

ML 133
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

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

AWS Machine Learning Blog

SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce. SageMaker Canvas also enables you to understand your predictions using feature importance and SHAP values, making it straightforward for you to explain predictions made by ML models.

ML 111
article thumbnail

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.

ML 124
article thumbnail

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.

AWS 132
article thumbnail

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. He has over 10 years of experience in planning, building, launching, and managing world-class solutions for enterprise customers, including AI/ML and cloud solutions. Follow him on LinkedIn. You can connect with him on LinkedIn.

AWS 126