erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Digital transformation Government GDPR 84

AIIM

OCTOBER 29, 2018

In The State of Intelligent Information Management: Getting Ahead of the Digital Transformation Curve and in GDPR after the Deadline: Progress, But a Long Way to Go , AIIM began an examination of one of the four key IIM practice areas — Automating Compliance and Governance. Metadata & taxonomy management.

Compliance 89

Compliance Government Digital preservation Records Management 89

IBM Big Data Hub

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Government 69

Government GDPR Compliance Analytics 69

AIIM

AUGUST 10, 2021

The information flow is complicated, and the governance implications are substantial. Every aspect of content flow and collaboration – including Microsoft Teams and its information—must be integral to the organization’s approach to information governance. What is your existing Information Governance strategy?

Information governance 137

Information governance Government ROT Unstructured data 137

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Big data Government Mining 104

Collibra

APRIL 18, 2022

Metadata management is a cross-organizational agreement on how to define informational assets. The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. The importance of metadata.

Metadata 52

Metadata Archiving Government Digital transformation 52

Collibra

NOVEMBER 25, 2020

Metadata management is a cross-organizational agreement on how to define informational assets. The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. The importance of metadata.

Metadata 59

Metadata Archiving Government Digital transformation 59

IBM Big Data Hub

OCTOBER 4, 2022

Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are demanding it. Failure to meet regulations can lead to government intervention in the form of regulatory audits or fines, damage to the organization’s reputation with shareholders and customers, and revenue loss.

Government 99

Government Artificial Intelligence Metadata Data science 99

erwin

FEBRUARY 12, 2021

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Governance, risk and compliance are treated as isolated bubbles. The GRC layer comprises mandatory components like risks, controls and compliance elements.

Compliance 98

Compliance Risk Government Data breaches 98

Collibra

NOVEMBER 5, 2020

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Who created this data?

Metadata 59

Metadata Government Privacy Sales 59

Collibra

MAY 7, 2024

However, using AI without proper governance and without a complete understanding of the underlying data can lead to unwanted outcomes including model bias, inaccuracies, legal and ethical implications, trust issues, and more. Based on this pioneering use of Collibra AI Governance, McDonald’s and Expleo both won awards at DC24 too.

Government 90

Government Risk Privacy Metadata 90

IBM Big Data Hub

JUNE 12, 2023

If we log in to the VSI, we can see the volume disks: [root@test-metadata ~]# ls -la /dev/disk/by-id total 0 drwxr-xr-x. vdb If we want to find the data volume named test-metadata-volume , we see that it is the vdd disk. Recently, IBM Cloud VPC introduced the metadata service. 2 root root 200 Apr 7 12:58. drwxr-xr-x.

Metadata 69

Metadata Cloud Compliance Government 69

Collibra

MARCH 6, 2024

AI starts with trusted data SAP Datasphere and Collibra offer enterprises a business data fabric architecture that can govern SAP and non-SAP data, delivering trusted data to all users no matter where it resides. The answer is that your organization needs AI governance. Answer: AI governance. So what is AI governance?

Government 90

Government Customer Experience Artificial Intelligence Digital transformation 90

IBM Big Data Hub

APRIL 11, 2024

The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. Compliance with official policies through auditing tools and other measures is merely the final step.

Government 76

Government Education Artificial Intelligence Risk 76

erwin

OCTOBER 8, 2020

And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. As organizations look to migrate their data from legacy on-prem systems to cloud platforms, they want to do so quickly and precisely while ensuring the quality and overall governance of that data.

Cloud 145

Cloud Government Metadata Data structuring 145

erwin

SEPTEMBER 3, 2020

Aligning these practices for regulatory compliance and other benefits. Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. Automating Data Governance and Enterprise Architecture.

Government 144

Government Compliance Risk Metadata 144

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Digital transformation Government GDPR 52

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . Not surprisingly, the respondents that shaped the 2018 report ranked regulatory compliance as the No.

Government 145

Government Metadata Digital transformation Analytics 145

erwin

JANUARY 9, 2020

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. So here’s why data modeling is so critical to data governance. CCPA vs. GDPR: Key Differences. erwin Data Modeler: Where the Magic Happens.

Government 144

Government Metadata Unstructured data GDPR 144

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down. Metadata-Driven Automation in the BFSI Industry.

Metadata 96

Metadata Healthcare Insurance Financial Services 96

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance.

Government 145

Government Metadata Digital transformation Access 145

IBM Big Data Hub

OCTOBER 12, 2023

Ensuring compliance with governmental regulatory requirements as well as internal policies An AI model must be fully understood from every angle, inside and out—from what enterprise data is used and when , to how the model arrived at a certain output. Models in production, therefore, must be continuously monitored for bias and drift.

Government 79

Government Analytics Metadata Compliance 79

IBM Big Data Hub

FEBRUARY 8, 2024

The European Artificial Intelligence Act, while not yet law, is driving new levels of human oversight and regulatory compliance for artificial intelligence (AI) within the European Union. Similar to GDPR for privacy, the EU AI Act has potential to set the tone for upcoming AI regulations worldwide.

Government 76

Government Artificial Intelligence Risk Compliance 76

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Are the Key Benefits of Data Governance?

Government 145

Government IT Compliance Metadata 145

IBM Big Data Hub

DECEMBER 4, 2023

Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. Looking forward Using the framework described above, IBM advances ethical AI governance through its product offerings. and/or its affiliates in the U.S.

Government 78

Government Metadata Risk Compliance 78

AIIM

SEPTEMBER 11, 2018

Thankfully, auto-classification and the automatic linking of document types to retention periods are taking information governance out of the hands of individual end users, who always resented the Nick Burns of the world telling them that they should somehow find time to “care” about records management. Revenge of the metadata nerds!

Metadata 86

Metadata Records Management Information governance Government 86

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Government 73

Government Risk Artificial Intelligence Metadata 73

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. It’s not easy to design and deploy compliance in an environment that’s not well understood and difficult in which to maneuver. Five Steps to GDPR/CCPA Compliance.

GDPR 110

GDPR Government Metadata Compliance 110

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. The clear benefit is that data stewards spend less time building and populating the data governance framework and more time realizing value and ROI from it.

Government 97

Government Metadata Energy and Utilities Artificial Intelligence 97

AIIM

SEPTEMBER 7, 2021

What is Information Governance, and Why is it Important? There are many benefits to constructing an Information Governance program plan. Generally, regulatory compliance or litigation activities are at the top of the list and often spur the creation of the IG program itself, but that's just the start of the list of IG benefits.

Information governance 180

Information governance Government Communications Education 180

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition. Where is it?

Government 122

Government Digital transformation GDPR Compliance 122

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability. Synchronicity. Maturity Levels.

Government 128

Government Metadata Digital transformation Education 128

erwin

APRIL 2, 2021

Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents. Without data governance, organizations lack the ability to connect the dots across data governance, security and privacy – and to act accordingly. Who is authorized to use it and how?

Government 106

Government GDPR Metadata Risk 106

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Government 139

Government Digital transformation Metadata Artificial Intelligence 139

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. . Collibra: The one-stop shop for adaptive data and analytics governance. Today, we have great news.

Analytics 76

Analytics Government Compliance Metadata 76

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. Data Governance Bottlenecks. Clearly, there’s a massive need for a data governance framework to keep these obstacles from stymying enterprise innovation. Overcoming Data Governance Bottlenecks. Sources, like IoT. Regulations.

Government 89

Government Metadata Analytics Compliance 89

Collibra

JANUARY 16, 2024

While data catalogs have emerged as a collaborative and well-governed method for connecting people to data to help support these initiatives, driving their adoption and growth within organizations can be surprisingly challenging. This is a “process-aware” catalog.

Metadata 89

Metadata Compliance Government Digital transformation 89