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Collibra expands integration touchpoints with Google Cloud

Collibra

Collibra Data Quality leverages Spark parallel processing and can be applied across large and diverse data sources, including files and streaming data. Google Cloud offers a data and analytics platform that encompasses a wide range of technologies to support data collection, preparation, storage, analysis and visualization.

Cloud 59
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Archive-It Partner News, May 2018

Archive-It

Archive-It staff are streamlining the API that underlies the Archive-It web application to help simplify the process of connecting partners and their third party applications to information about their Archive-It accounts, collections, and crawls. Developing a Web Archiving Application Metadata Profile at UVA.

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If I Go to a Protest, What Kinds of Personal Information Might Police Collect About Me? (important guest post)

Architect Security

And when thousands of protesters are out on the street, the opportunity is ripe for law enforcement to not only surveil the scene but to collect personal information that it can then hold on to for a long time. With paper records of the past, he added, at least everything was relatively difficult to find.

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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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eDiscovery for the Rest of Us: eDiscovery Best Practices, Part Four

eDiscovery Daily

In this new challenge, Edna had a Zip file on a thumb drive containing collected ESI in various formats: 10 custodians with ESI PSTs for six of them, four MBOX take outs from Gmail for the other four and a combination of word processed documents, spreadsheets, PowerPoint documents, PDFs and a few scanned paper documents for all ten.

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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. No red herring here. But don’t jump off the bridge yet.