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Cloud Data Science News – Beta 6

Data Science 101

Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. Google AutoML for Natural Language goes GA Extracting meaning from text is still a challenging and important task faced by many organizations. Here they are.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Ensure that data is clean, consistent, and up-to-date.

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Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

SageMaker Canvas SageMaker Canvas enables business analysts and data science teams to build and use ML and generative AI models without having to write a single line of code. Set up OAuth for Salesforce Data Cloud in SageMaker Canvas. Configure the following scopes on your connected app: Manage user data via APIs ( api ).

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

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2021 Crystal Ball: What’s in Store for AI, Machine Learning, and Data

Dataversity

From business processes and smart home technology to healthcare and life sciences, AI continues to evolve and grow as it plays an increasing role in many aspects of our work, home lives, and beyond. The post 2021 Crystal Ball: What’s in Store for AI, Machine Learning, and Data appeared first on DATAVERSITY.