IBM Big Data Hub

SEPTEMBER 12, 2022

Enterprises are dealing with a barrage of upcoming regulations concerning data privacy and data protection, not only at the state and federal level in the US, but also in a dizzying number of jurisdictions around the world. Adopting a privacy-centric approach built around a data fabric.

Data Privacy 93

Data Privacy Privacy Metadata Compliance 93

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Digital transformation Government Healthcare 110

Collibra

AUGUST 4, 2020

But the general public is not the only ones concerned about data security. Data security and privacy professionals are also fearful about protecting sensitive information within their organization. . Many businesses are using this time to optimize their data and technology investments. Data breaches. Regulatory fines.

Digital transformation 59

Digital transformation Data Privacy Privacy Metadata 59

Reltio

MARCH 18, 2020

To deliver these experiences, it all starts with customer data. Customer data platforms (CDPs), master data management (MDM) systems or something else? This blog examines the key requirements and technologies today’s digital enterprises require in order to establish modern data platforms. Introduction: CDP or MDM?

MDM 83

MDM Analytics Customer Experience Marketing 83

Data Protection Report

AUGUST 27, 2018

This is the Data Protection Report’s third blog in a series of blogs that will break down the major elements of the CCPA which will culminate in a webinar on the CCPA in October. This definition of PI greatly expands on the narrow definition of what constituted PI under previous California state laws.

GDPR 40

GDPR Privacy Data breaches Sales 40

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 49

Marketing Data science e-Discovery Analytics 49

Archive-It

OCTOBER 23, 2019

Bilby, Senior Assistant Librarian, California State University, Fullerton. Videos of 2013-2019 House Foreign Affairs Committee (HFAC) hearings unavailable from C-SPAN are now available for public viewing from a new web archive curated by California State University, Fullerton. So it was with the HFAC website. Potentially volumes.

Archiving 20

Archiving Paper Government Risk 20