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Minding Your Models

DataRobot Blog

They may not have been documented, tested, or actively monitored and maintained. Aimed at citizen data scientists, these tools are expected to dramatically increase the number of models that organizations put into future production and need to continuously monitor. Future Models.

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How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

But trust isn’t important only for executives; before executive trust can be established, data scientists and citizen data scientists who create and work with ML models must have faith in the data they’re using.

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

DataRobot

At DataRobot, we have always known that data science is a team sport. This will include revamped Python and R API’s that will be open-sourced, comprehensive and easy to use public API documentation, Composable ML, custom inference models, and even more exciting new capabilities for coders that will be announced later this year.

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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. This is crucial for compliance, security, and governance.

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Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

In Part 1 and Part 2 , we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker. For this post, we use the Anthropic Claude 3 Sonnet model.

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Predicting the Future of Data Science

Pickl AI

The Rise of Citizen Data Scientists The concept of citizen Data Scientists is gaining momentum as organisations strive to empower non-technical employees with the tools and knowledge needed to analyse data effectively.