Remove 2019 Remove Big Data Analytics Remove Natural Language Processing
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Wouldn’t you like to halve your workload and double your earnings?

Dataconomy

Gartner coined the term “hyper automation” in 2019 to describe the integration of multiple automation technologies ( Image Credit ) What is hyper automation? They provide automated and interactive customer support, assist with information retrieval, and streamline various communication processes.

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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.

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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. His research interest is in systems, high-performance computing, and big data analytics. He founded StylingAI Inc.,

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How Analytics Shapes Our Music Tastes in the Era of Digital Streaming

Dataversity

Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027.

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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning Blog

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. Clean data is important for good model performance.