Dataconomy

JUNE 16, 2023

The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft. Employees are regularly monitored by the tool, which also alerts them to any possible data breaches. Featured image credit: Markus Spiske on Unsplash

AI 193

AI AI Natural Language Processing Data Classification 193

Towards AI

MAY 3, 2023

They investigate the most suitable algorithms, identify the best weights and hyperparameters, and might even collaborate with fellow data scientists in the community to develop an effective strategy. This is where ML CoPilot enters the scene. Vector databases can store them and are designed for search and data mining.

ML 96

ML ML Machine Learning Machine Learning 96

AWS Machine Learning Blog

SEPTEMBER 24, 2024

Advancements in AI and natural language processing (NLP) show promise to help lawyers with their work, but the legal industry also has valid questions around the accuracy and costs of these new techniques, as well as how customer data will be kept private and secure. These capabilities are built using the AWS Cloud.

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AWS AI AI ML 104

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

AWS 124

AWS Machine Learning Machine Learning ML 124

AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. This use case, solvable through ML, can enable support teams to better understand customer needs and optimize response strategies.

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AWS ETL ML ML 114

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. By storing less volatile data on technologies designed for efficient long-term storage, you can optimize your storage footprint.

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AWS Natural Language Processing ML ML 118