eDiscovery Daily

JULY 24, 2019

And, we have seen more cases related to disputes over production format, as some (but not enough) requesting parties are realizing that requesting native productions gives them more metadata about the produced ESI (while also making it more “tamper-proof”). Processing, Review and Analysis). organized by custodian, legal issue, etc.);

File names 48

File names Metadata Paper Education 48

eDiscovery Daily

SEPTEMBER 30, 2018

Actually, it started yesterday, with a few events, including the Welcome Reception and the Beer and Basics: e-Discovery 101 and Relativity Fundamentals session (serving beer and wine at an education session is OK with me!). Privilege logs used to be the most expensive part of document review, but times have changed.

e-Discovery 47

e-Discovery Education Computer and Electronics Privacy 47

Collibra

FEBRUARY 16, 2022

A good technology solution will gather metadata from a variety of systems, manage a business glossary, enforce policies and procedures, tie to a technical data dictionary, and more. Documenting how people use data, where it resides, and how it has moved or changed over time. Data science. Privacy and compliance. Engagement.

Government 52

Government IT Compliance Privacy 52

ARMA International

SEPTEMBER 13, 2021

ARMA defines information as “Data that has been given value through analysis, interpretation, or compilation in a meaningful form” (ARMA 2016, p 28). Digital assets can also include architectural and design documents, intellectual property, logos, trademarks, copyrights – anything the organization considers an asset. Sharma, Rakesh.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

APRIL 11, 2024

This includes prioritizing fairness and lack of bias in training data and output, minimizing environmental impact, and increasing accountability through designation of responsible individuals and organization-wide education. Step 2: Have the government agency that is establishing the policy act as judge for the event.

Government 77

Government Education Artificial Intelligence Risk 77

ChiefTech

JANUARY 12, 2009

During this time, information was being transferred from hand-held documents to the computer screen, without being optimized for the new online medium. In contrast, finding the next subsection within a text document is very simple. Conduct Log File Analysis: Do your statistics. Conclusion (i.e.

Information architecture 90

Information architecture IT Metadata Education 90

eDiscovery Daily

APRIL 27, 2023

One example is data categorization, also known as the metadata describing an element of data. In document management systems, it’s generally required that documents are placed into workspaces relating to clients or matters. Classification is not limited to email and documents, of course. Issue tagging is one.

Communications 45

Communications e-Discovery Artificial Intelligence Metadata 45

eSecurity Planet

APRIL 13, 2022

Deep Session Inspection technology extracts metadata and monitors 300+ different attributes. Decrypt for deeper analysis to detect malware on the wire, encrypted attacker communications, data theft, and insider threat; inspect; and re-encrypt traffic without slowing down network traffic. Educate users on proper data handling policy.

Compliance 123

Compliance Cloud Encryption Risk 123

eDiscovery Daily

NOVEMBER 6, 2019

Back when most discovery was paper based, the usefulness of the documents was understandably limited. Documents were paper and they all required conversion to image to be viewed electronically, optical character recognition (OCR) to capture their text (though not 100% accurately) and coding (i.e.,

e-Discovery 47

e-Discovery Paper Metadata Education 47

Data Protector

OCTOBER 11, 2017

Concern about the increasing use of algorithms and automatic data processing needs to be addressed, perhaps requiring recording, testing and some level of disclosure about the use of algorithms and data analysis, particularly when algorithms might affect employment ​or are used in a public policy context. You could call it Macavity the cat.

GDPR 120

GDPR Personal data Government IT 120

AIIM

MARCH 4, 2022

More than 90% of data and documents in electric utilities is dark – inaccessible – or dumb – useless. For instance, by educating a customer about how much more money he’s paying for his excessive AC use at peak summer hours, the electric utility can motivate him to reduce use at peak times. And it gets darker and dumber by the hour.

Content services 104

Content services Digital transformation Energy and Utilities Cloud 104