Remove Citizen Data Scientist Remove Data Scientist Remove ML
article thumbnail

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.

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 134
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

In the rapidly evolving world of data science, where cutting-edge technology drives innovation, the traditional one-size-fits-all software solutions are increasingly being challenged. Micro-SaaS , short for Micro Software-as-a-Service, is gaining traction as an innovative approach to solving complex data science problems.

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

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 125
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 105
article thumbnail

DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

DataRobot

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. Data Exploration, Visualization, and First-Class Integration. Put simply, Zepl helps make DataRobot easily customizable. Stay tuned.