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Generative AI is pushing unstructured data to center stage

CIO

Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now?

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews.

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Artificial Intelligence 101: What It Is, Its Evolution and Potential Jobs

Apiumhub

AI involves the use of systems or machines designed to emulate human cognitive ability, including problem-solving and learning from previous experiences. Artificial intelligence refers to the ability of machines and computer systems to perform tasks that would traditionally require human intelligence.

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ChatGPT, Author of The Quixote

O'Reilly Media - Ideas

Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. It’s an interesting piece that I commend to you, but one that makes me uncomfortable.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. Ground truth data in AI refers to data that is known to be true, representing the expected outcome for the system being modeled.

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Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

AWS Machine Learning - AI

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request.

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Get your data AI-ready

CIO

An aircraft engine provider uses AI to manage thousands of technical documents required for engine certification, reducing administration time from 3-6 months to a few weeks. The examples above demonstrate how expanding AI applications and unstructured data help create transformational outcomes.

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