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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others.

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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. And if you can’t wait to try it yourself, check out the Tecton interactive demo and observe a fraud detection use case in action. You can also find Tecton at AWS re:Invent.

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Use Amazon DocumentDB to build no-code machine learning solutions in Amazon SageMaker Canvas

AWS Machine Learning Blog

We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas , allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. Analyze data using generative AI. Prepare data for machine learning.

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ML Days in Tashkent — Day 3: Demos and Workshops

PyImageSearch

But again, stick around for a surprise demo at the end. ? From healthcare and education to finance and arts, the demos covered a wide spectrum of industries and use cases. It was a chance for participants to learn from each other and explore potential collaborations.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Set up a data pipeline that delivers predictions to HubSpot and automatically initiate offers within the business rules you set.

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Groq AI, not Grok, roasts Elon Musk with its “fastest LLM”

Dataconomy

Capabilities of Groq AI With its state-of-the-art demonstrations, Groq AI has shown that it can churn out detailed, factual responses comprising hundreds of words in just a fraction of a second, complete with source citations, as seen in a recent demo shared on X. The first public demo using Groq: a lightning-fast AI Answers Engine.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Boost productivity – Empowers knowledge workers with the ability to automatically and reliably summarize reports and articles, quickly find answers, and extract valuable insights from unstructured data. The following demo shows Agent Creator in action. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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