2007 and Deep Learning - Data Leaders Brief

LexisNexis rises to the generative AI challenge

CIO Business Intelligence

DECEMBER 1, 2023

When Reihl joined LexisNexis in 2007, roughly half of the company’s infrastructure, including its core platform, was based on the mainframe. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications. But it was an uphill climb to get to the cloud.

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Using Machine Learning for Sentiment Analysis: a Deep Dive

DataRobot Blog

MARCH 9, 2022

With that said, recent advances in deep learning methods have allowed models to improve to a point that is quickly approaching human precision on this difficult task. LSTMs and other recurrent neural networks RNNs are probably the most commonly used deep learning models for NLP and with good reason. More advanced models.

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Data Leaders Brief

LexisNexis rises to the generative AI challenge

Using Machine Learning for Sentiment Analysis: a Deep Dive

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