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4 ways AI and Blockchain Transform Information Governance

Everteam

Machine learning, deep learning, and natural language processing technologies can search disparate data from multiple repositories and analyzes it to enhance metadata, classify content, and manage document lifecycles. “The days when humans will declare a record, tag it, and forward it to an appropriate location are done.

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The most valuable AI use cases for business

IBM Big Data Hub

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

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What Is Our Professional Future?

Brandeis Records Manager

Massive information analysis, tagging, metadata assignment, and classification are a few of those roles that smart machines, once trained, may cover completely: many on the legal side of our profession have already experienced this through technology-assisted review.