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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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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.

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Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

ODSC - Open Data Science

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT.

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

ODSC - Open Data Science

Video of the Week: Accelerate Your AI/ML Initiatives and Deliver Business Value Quickly In this enlightening video, join Mahesh Krishnan and Peter Kilroy as they delve into the world of enterprise-level AI adoption.

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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. 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.

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