erwin

APRIL 2, 2021

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Government 106

Government GDPR Metadata Risk 106

Everteam

MAY 22, 2019

In the age of Big Data , capturing , organizing and analyzing all your data is nearly impossible if you are counting on traditional methods. Without having a solution to structure and benefit from this data, you’ll find yourself with mountains of data that you can’t tell what to do with but also are afraid of getting rid of.

Big data 74

Big data Artificial Intelligence Analytics Digital transformation 74

eSecurity Planet

JULY 23, 2021

In both cases, the vulnerabilities in the Linux and Windows operating systems were discovered by security researchers rather than bad actors and patches or workarounds were recommended for all of them. In the case of the Linux vulnerabilities, Qualys security researchers recommended that users of various Linux distributions apply patches.

Metadata 144

Metadata Access Big data Security 144

erwin

APRIL 11, 2019

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

GDPR 100

GDPR e-Discovery Compliance Metadata 100

eSecurity Planet

AUGUST 22, 2023

With the ever-present threat of data breaches, organizations need to adopt best practices to help prevent breaches and to respond to them when they occur to limit any damage. And breaches will occur – because bad guys make a living by figuring out ways to circumvent security best practices. But it requires different levels of security.

Data breaches 81

Data breaches Big data Cybersecurity Security 81

IBM Big Data Hub

AUGUST 24, 2022

Support for data governance. Metadata exchange with third party metadata management and governance tools. Unlock Insights with IBM’s data integration tools. All of these tools are readily accessible on IBM Cloud Pak for Data as a Service, and are core to the platform’s data fabric architecture.

Metadata 86

Metadata Cloud Government Marketing 86

IBM Big Data Hub

JANUARY 3, 2024

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

Metadata 79

Metadata Healthcare Government Manufacturing 79

Thales Cloud Protection & Licensing

DECEMBER 6, 2018

For most enterprise IT security professionals, there are some common reasons that we need to protect a given data set. Minimizing the chance of a data breach of PII. Protecting sensitive financial data, intellectual property or secrets. Data Security Protection Layers, Risks, and Controls.

Security 54

Security Encryption Cloud Access 54

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Read more about erwin® Data Modeler by Quest. Best Data Security Solution (Quest ApexSQL).

Digital transformation 52

Digital transformation Metadata Compliance Big data 52

IBM Big Data Hub

JUNE 12, 2023

This layer will automate the deployment of virtual private cloud, clusters, node groups, security policies, etc. Configuration: This layer takes care of any new Day 2 metadata/configuration that must be loaded on the network function. that are required by the network function. SRIOV, Multus, etc.)

Cloud 72

Cloud Metadata Marketing IT 72

Everteam

MAY 29, 2019

The rising value of data today requires a great effort to be managed and kept. A greater effort is required to grant a safe, smart and secure way to share and use this data, especially when it comes to key business processes and workflows that allow organizations and governments to communicate.

Artificial Intelligence 75

Artificial Intelligence Insurance Metadata Big data 75

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data. Capture and document model metadata for report generation.

Government 77

Government Risk Artificial Intelligence Metadata 77

Hunton Privacy

JANUARY 17, 2014

Department of Justice on January 17, 2014, President Obama addressed the call for reforms to government surveillance programs following disclosures regarding National Security Agency (“NSA”) activities leaked by Edward Snowden since June of last year. A comprehensive review of big data and privacy led by the White House.

Security 40

Security Metadata Privacy Communications 40

IBM Big Data Hub

MAY 9, 2024

Challenges in data governance for healthcare and how data lineage can help Data governance can help healthcare organizations maximize the accuracy and security of their data assets. Data quality issues Positive business decisions and outcomes rely on trustworthy, high-quality data.

Government 74

Government GDPR Compliance Analytics 74

erwin

MARCH 8, 2019

Following are two examples that illustrate the data governance stock check, including the Any 2 approach in action, based on real consulting engagements. Then the metadata is classified against a semantic model held in a business glossary. For each asset, information was captured and reviewed as part of a workflow.

Government 65

Government Metadata GDPR Compliance 65

IBM Big Data Hub

NOVEMBER 3, 2023

When scaling up the number of applications you manage, it can feel like there are a lot of moving parts to ensure that your APIs are going through to the right applications in a secure manner. A “secret” stores sensitive data, such as a password, authentication token, key or certificate.

Cloud 76

Cloud Metadata Access Authentication 76

IBM Big Data Hub

SEPTEMBER 20, 2022

Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle.

Data science 57

Data science Metadata Government Access 57

IBM Big Data Hub

JUNE 8, 2022

Whether data protection regulations like GDPR, CCPA, HIPAA, etc. are put in place by governments or a specific industry these data privacy and consent controls go beyond sensitive data to outline how organizations should allow their employees to access enterprise data in general.

Government 58

Government Privacy Analytics Metadata 58

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 88

Artificial Intelligence Retail Unstructured data Insurance 88

eSecurity Planet

AUGUST 11, 2022

Many of the basic principles for securing a data lake will be familiar to anyone who has secured a cloud security storage container. Of course, since most commercial data lakes build off of existing cloud infrastructure, this should be the case. Data Lake Security Scope.

Security 112

Security Encryption Cloud Access 112

Interactive Information Management

MARCH 4, 2015

Secure & compliant, fast, portable, standardized if necessary, high quality. But most of all, you'd like to pay only for the data and the way it's delivered to you - not for a bunch of information technology products and services, hardware and software. Identify your DaaS Enabler(s).

Big data 40

Big data Information architecture Business Services Cloud 40

IBM Big Data Hub

JULY 11, 2023

Similar to how our own digital data is currently exchanged, traded and monetized by third parties, providing connected devices with a unique identity and an ability to transact through a digital wallet unlocks the digital assetization or liquification of IoT.

IoT 55

IoT Artificial Intelligence Agriculture Blockchain 55

IBM Big Data Hub

JUNE 30, 2022

Lines of business have increased pressure to speed go-to-market of innovation through new data-driven solutions, products or businesses. IT works to manage the underlying risk, security and performance through governance, without limiting flexibility. 5 recommendations for a data strategy in the new multi-everything landscape.

Analytics 57

Analytics Cloud Artificial Intelligence Government 57

Everteam

SEPTEMBER 20, 2019

Machine learning, deep learning, and natural language processing technologies can search disparate data from multiple repositories and analyzes it to enhance metadata, classify content, and manage document lifecycles. As data collection and content creation increase exponentially, the importance of effectively governing it grows.

Information governance 40

Information governance Blockchain Government Records Management 40

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

Info Source

JUNE 7, 2018

The SER Group is a driver of future trends such as the interaction between ECM, cloud computing, big data and artificial intelligence (AI). Doxis4 has a competitive market advantage due to the fact that it brings together ECM, BPM, collaboration and EFSS onto one unified technological platform with uniform metadata management.

ECM 40

ECM Marketing Content services Artificial Intelligence 40

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

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling. Provide metadata and schema visualization regardless of where data is stored. naming and database standards, formatting options, and so on.

Metadata 98

Metadata Government Data structuring Analytics 98

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. Information Architecture (IA).

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Collibra

JANUARY 25, 2019

The post Data Governance and Business Transformation appeared first on Collibra.

Government 40

Government Digital transformation Customer Experience Metadata 40

eSecurity Planet

JUNE 17, 2021

Naturally, database vendors are leading providers of database security tools, and a growing number of cloud-based database providers are moving deeper into the data security space. These databases house the crown jewels of many organizations, critical applications and customer data, and thus are a primary target of hackers.

Security 106

Security Cloud Encryption Computer and Electronics 106

Interactive Information Management

DECEMBER 6, 2013

Natural, Accurate Language - is quickly becoming more accessible and desired by search engines, as they process very large amounts of unstructured information and data that increasingly exists within a predominantly artificial ecosystem of structured tags, markers, metadata, links.in

Marketing 45

Marketing Metadata B2C Communications 45

ARMA International

SEPTEMBER 13, 2021

Organizations use DRM technologies and solutions to securely manage intellectual property (IP) rights and monetize the content. DRM helps ensure the secure and trusted exchange of content between a seller and a buyer and ensures that only the buyer is granted the privileges allowed by the seller. Digital Rights Management (DRM).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Metadata 68

Metadata MDM Analytics Compliance 68

IBM Big Data Hub

OCTOBER 12, 2023

Scaling AI models and analytics with trusted data As a model grows or expands in the kinds of tasks it can perform, it needs a way to connect to new data sources that are trustworthy, without hindering its performance or compromising systems and processes elsewhere. But the implementation of AI is only one piece of the puzzle.

Government 83

Government Analytics Metadata Compliance 83

IBM Big Data Hub

SEPTEMBER 12, 2022

In August the Federal Trade Commission (FTC) released an Advance Notice of Proposed Rulemaking (ANPRM) titled Commercial Surveillance and Data Security that encompasses a wide range of data protection and privacy issues, including data monetization models, discrimination and algorithmic biases and data security, to name a few.

Data Privacy 98

Data Privacy Privacy Metadata Compliance 98

IBM Big Data Hub

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. AI literacy is a must-have for security It’s important that personnel know how to deploy AI to improve organizational efficiencies. Capture key metadata to render AI models transparent and keep track of model inventory.

Artificial Intelligence 101

Artificial Intelligence Metadata Military Government 101