Collibra

FEBRUARY 3, 2022

Because of their flexibility, data lakes are much more cost-effective. But these advantages can turn data lakes quickly into data swamps. . For example, unstructured data needs rapid processing to feed the analytical tools. Or choosing the relevant data requires insights into the data lineage.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

FEBRUARY 14, 2024

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.

Artificial Intelligence 83

Artificial Intelligence Retail Unstructured data Insurance 83

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

Brandeis Records Manager

JULY 28, 2016

I partner with our Chief Info Security Officer on projects and share his vigilance under the broader governance umbrella, but I am not responsible for endpoint detection and response, authentication protocols, malware interception, and honeypots. All of us value sufficient metadata and information context.

Records Management 52

Records Management Libraries Unstructured data Honeypots 52

eDiscovery Daily

AUGUST 7, 2018

Craig Bayer, the principal of legal document management firm Optiable , put it best when he said to me that “A DMS is not an enterprise data organization solution.”. IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. Data access.

IT 31

IT Unstructured data Information governance Government 31

Collibra

SEPTEMBER 9, 2022

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. The most common data quality problem statements.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

Everteam

APRIL 16, 2019

Apply appropriate security controls to prevent accidental disclosure or cyberhacking. There are many examples of the benefits of classification, but I’ll provide two: The first is responding to data subject requests from privacy regulations like upcoming CCPA or GDPR. Separate the good information from the ROT. How / where to store it.

ROT 40

ROT Information governance Metadata Government 40

Collibra

JUNE 25, 2021

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. The most common data quality problem statements.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

IBM Big Data Hub

JANUARY 17, 2023

These new technologies and approaches, along with the desire to reduce data duplication and complex ETL pipelines, have resulted in a new architectural data platform approach known as the data lakehouse – offering the flexibility of a data lake with the performance and structure of a data warehouse.

Metadata 52

Metadata Analytics Unstructured data Government 52

ARMA International

SEPTEMBER 22, 2021

How will organizations use so-called “vaccine passports” related to employees and customers and how will organizations secure their protected health information (PHI) in response to changing health directives? IA overlaps many areas of design, such as navigation, user experience, user interface, security model, taxonomy, and metadata.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Collibra

JULY 27, 2022

Sometimes companies are unable to derive deeper, actionable insights from the data because the data is inaccurate, not accessible, or secure. . Forward-looking companies use data intelligence to remedy these issues. Data intelligence combines factors from data quality and governance to metadata management.

Metadata 52

Metadata Artificial Intelligence Analytics Unstructured data 52

Collibra

DECEMBER 8, 2022

With the rise of the Internet at the turn of the 21st century, companies like Yahoo, Amazon, and Google started to analyze customer behavior via clickthrough rates, IP-specific location data, and search logs. HTTP-based web traffic drove a massive increase in structured and unstructured data.

Metadata 78

Metadata Unstructured data Government Big data 78

IBM Big Data Hub

AUGUST 4, 2023

Employees and leaders need to trust the data is accurate, know how to access it, as well as how it could be applied to business problems. In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used.

Analytics 59

Analytics Artificial Intelligence Digital transformation Access 59

Brandeis Records Manager

SEPTEMBER 19, 2016

Like most people, I prefer to have a reasonable sense of job security, as long as my interest is engaged. We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62