AIIM

JANUARY 7, 2020

Only 3 of the worst 10 data breaches of all time happened in 2019, but it was still not a good year for data security. However, one significant contributing factor in many of them was that organizations collected and retained data they generally didn’t need – and if they did, they didn’t need to retain it as long as they had.

Security 80

Security GDPR Data breaches Artificial Intelligence 80

Hunton Privacy

OCTOBER 22, 2018

The Paper listed several examples of informational injuries, including medical identity theft, doxing, disclosure of private information and erosion of trust, and emphasized that the risks of such injuries should be balanced against the value of the information collection. whether the data at issue is anonymized or identifiable.

Paper 59

Paper Privacy Big data Data breaches 59

eDiscovery Daily

APRIL 22, 2019

Challenges Posed by BIG Data and Variety of Data Sources. Data Privacy Trends and Challenges. Key Stats and Challenges Regarding Data Breaches. Will Information Governance Bail Us Out of This Mess? Data Discovery vs. Legal Discovery. Challenges from #metoo and Corporate Malfeasance.

Data Privacy 53

Data Privacy Big data Privacy Data breaches 53

ARMA International

NOVEMBER 7, 2019

Over the years, the regulations reflected the conflicting forces of centralized government control to maintain stability in the financial system vs. the fear of too much control being concentrated in too few hands, which resulted in deregulation. to enable the most control over the data.

Financial Services 52

Financial Services Communications Compliance Risk 52

Information is Currency

DECEMBER 1, 2017

The challenge isn’t just managing electronic records, but non-records, content and other data as all information needs to be governed because all information provides risk because of many factors such as e-discovery, data breaches and so much more.

Records Management 40

Records Management Artificial Intelligence e-Delivery Computer and Electronics 40

eDiscovery Daily

OCTOBER 20, 2019

e-Discovery Data Management: Governance and Process Optimization. As e-discovery data continues to grow, it’s imperative for organizations to understand the exponential uptick in complexity, liability, and cost. Government Data Demands: What You, Your Clients, and Your Companies Should Know.

e-Discovery 40

e-Discovery Data Privacy Education Privacy 40

ARMA International

SEPTEMBER 27, 2021

Take the example of the pandemic: only some governments engaged pandemic experts to develop actions plans. The end state is to use DT to optimize the use of resources, increase ROI, and improve governance, strategic risk management, and compliance, as illustrated by the five levels in Figure 3. Big Data Considerations.

Digital transformation 54

Digital transformation Risk IT Computer and Electronics 54