Archive-It

OCTOBER 14, 2020

by the Archive-It team. Partners in the Archive-It platform of software and services met virtually from around the globe on October 7, 2020, to review the state and chart the future of their web archiving community of practice.

Archiving 26

Archiving Digital preservation IT Big data 26

eDiscovery Daily

SEPTEMBER 20, 2021

Legal teams should carefully design a deletion strategy so that they can decide what to keep, archive, and eliminate. [5]. Take your time, especially when handling large amounts of big data. Thomas Dunn, “Intentional Deletion and Manipulation of Electronic Data Leads to Default Judgement,” JD Supra, August 12, 2021, [link]. [2]

e-Discovery 78

e-Discovery Big data Archiving IT 78

IBM Big Data Hub

JULY 24, 2023

For example, 99% of organizations surveyed by McKinsey said they have pursued a large-scale technology transformation since 2020. It aims to understand what’s happening within a system by studying external data. IT operations analytics consumes big data and turns it into usable graphs, charts and spreadsheets.

Analytics 57

Analytics IT Big data Cloud 57

The Last Watchdog

JUNE 2, 2021

The amount of data in the world topped an astounding 59 zetabytes in 2020, much of it pooling in data lakes. We’ve barely scratched the surface of applying artificial intelligence and advanced data analytics to the raw data collecting in these gargantuan cloud-storage structures erected by Amazon, Microsoft and Google.

Encryption 176

Encryption Access Artificial Intelligence IoT 176

ARMA International

SEPTEMBER 27, 2021

Like software as a service (SaaS), the ransomware developers sell or lease their ransomware variants to affiliates who then use them to perform an attack” (Midler 2020). 2020, p 6). One aspect of CS that are not given much consideration is archival services and long-term retention. 2020, p 1). Big Data Considerations.

Digital transformation 54

Digital transformation Risk IT Computer and Electronics 54

ARMA International

SEPTEMBER 22, 2021

Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through big data analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions. See Figure 1 [Jenik 2020]).

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

AIIM

MARCH 4, 2022

billion metric tons of it in 2020. As with other sectors, a rising tide of information chaos threatens the promise of big data and the opportunity to innovate. To accomplish both, they must transform into data-driven ecosystems that are 3D – Digitized, Decarbonized, and Decentralized. Intelligent Search.

Content services 104

Content services Digital transformation Energy and Utilities Cloud 104