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

Data Science Connect

Developers must ensure that their Micro-SaaS products can collaborate with other essential tools in the data scientist’s toolkit. 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.

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Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data…

ODSC - Open Data Science

Rackspace Launches ICE: A Generative AI System to Fast-Track Repetitive Tasks and Quickly Analyze Private Data Rackspace Technology Inc. has launched a new generative artificial intelligence system called ICE, designed to help businesses fast-track repetitive tasks and quickly analyze private data.

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Fine-Tuning LLMs, Anomaly Detection for CRM Data, and the History of Gaming and AI

ODSC - Open Data Science

Trending AI GitHub Repos: Week of October 9, 2023 This week’s trending GitHub AI repos have been highlighted by tools that streamline LLMs, integrate GPT models, and store data.

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

AWS Machine Learning Blog

SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. Until now, SageMaker Canvas provided the ability to evaluate an ML model, generate bulk predictions, and run what-if analyses within its interactive workspace.

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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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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.

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