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

IBM Big Data Hub

DECEMBER 16, 2022

At the same time, governments around the world are continuously evaluating and implementing new AI guidelines and AI regulation frameworks. We think that businesses have an opportunity to act now to put guardrails in place internally to govern how AI is developed and deployed.

Government 113

Government Artificial Intelligence Metadata Data collection 113

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 76

Government Metadata Risk Compliance 76

erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. Governing metadata.

Government 71

Government Metadata Big data Risk 71

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.

Government 105

Government Security Metadata Data breaches 105

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 72

Government Risk Artificial Intelligence Metadata 72

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Government 65

Government Metadata GDPR Compliance 65

IBM Big Data Hub

APRIL 9, 2018

There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance.

Government 90

Government Metadata Analytics 90

Collibra

MAY 14, 2024

In another session, we heard how TELUS uses metadata automation to discover, understand, trust, track and observe data in real time. The third breakout featured CAS , a division of the American Chemical Society, as they shared their approach to maximizing the value of their data assets.

Metadata 86

Metadata Big data Data collection Government 86

Everteam

MARCH 16, 2023

Analyzing , Governing How to accelerate the feeding of your SAE and GED? To solve this problem, there are now new solutions, ready to use, resulting from the latest technologies (AI, Microservices, Big Data) capable of automating the enrichment of metadata and of uploading the documents into the EDM or the EAS.

Metadata 52

Metadata Archiving Records Management Compliance 52

AIIM

MAY 30, 2023

Technologies such as institutional repositories, long-term digital preservation, electronic signatures, interoperability protocols, document big data, data analytics applied to document management, the use of AI in the optimization of metadata processing and management processes, searches, queries, document classification, text mining, vocabulary control (..)

Archiving 141

Archiving Search queries Digital preservation Big data 141

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

Government 40

Government Financial Services GDPR Data breaches 40

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Metadata 138

Metadata Digital transformation Unstructured data Artificial Intelligence 138

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Metadata 52

Metadata Analytics Big data Unstructured data 52

IBM Big Data Hub

MAY 9, 2023

Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

Data science 72

Data science Artificial Intelligence Metadata Compliance 72

Collibra

JANUARY 25, 2019

Collibra organized a Data Governance and Business Transformation seminar in Paris recently, bringing together data managers from the financial, retail, transportation, and logistics industries. Digital transformation remains a central business initiative that relies on data. What Forrester describes as “Data Governance 2.0”

Government 40

Government Digital transformation Customer Experience Metadata 40

Everteam

SEPTEMBER 20, 2019

In this session, we explored AI and Blockchain’s impact on core information governance processes and records management practices. Below are 4 key takeaways from the conversation: EC M is moving toward federated information governance. AI and Blockchain extend the reach of Information Governance. They’re the dark ages.”

Information governance 40

Information governance Blockchain Government Records Management 40

erwin

APRIL 11, 2019

Fortunately, whenever the time comes, the first point of call will always be data governance, so organizations can prepare. Effective compliance with new data protection regulations requires a robust understanding of the “what, where and who” in terms of data and the stakeholders with access to it (i.e., employees).

GDPR 100

GDPR e-Discovery Compliance Metadata 100

Information Governance Perspectives

DECEMBER 3, 2018

I interviewed him this November to discuss his thoughts on the evolution of metadata, content classification, AI, and how companies are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden values in their big data sets.

Analytics 49

Analytics Data science Big data Metadata 49

IBM Big Data Hub

NOVEMBER 4, 2022

Data observability capability makes data quality checks upstream possible. Data Governance. Ensuring data quality is critical for data governance initiatives. IBM’s holistic approach to Data Quality.

Metadata 57

Metadata Analytics Government Cloud 57

Collibra

MARCH 12, 2024

The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data. Register today!

Analytics 52

Analytics Mining Metadata Big data 52

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Government 87

Government Metadata Access Risk 87

IBM Big Data Hub

JULY 13, 2022

This data proliferation has made it harder than ever before to trust your data: knowing where it came from, how it has changed, and who is using it. Data provenance is a complexity facing many clients engaged in data governance-related use cases.

Cloud 65

Cloud Metadata Government Compliance 65

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 74

Metadata Healthcare Government Manufacturing 74

IBM Big Data Hub

AUGUST 24, 2022

It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives. Support for data governance. Metadata exchange with third party metadata management and governance tools.

Metadata 79

Metadata Cloud Government Marketing 79

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. What Is Metadata? Harvest data.

Metadata 110

Metadata Digital transformation Government Healthcare 110

Information Governance Perspectives

DECEMBER 3, 2018

I interviewed him this November to discuss his thoughts on the evolution of metadata, content classification, AI, and how companies are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden values in their big data sets.

Analytics 40

Analytics Data science Big data Metadata 40

Everteam

MAY 6, 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 75

Big data Artificial Intelligence Analytics Digital transformation 75

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

IBM Big Data Hub

JULY 6, 2022

With traditional approaches , data issues are reported by data users as they try to access and use the data and may take weeks to fix, if they’re found at all. starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more.

Metadata 57

Metadata Privacy Cloud Government 57

IBM Big Data Hub

APRIL 28, 2022

A data fabric can simplify data access in an organization to facilitate self-service data consumption, while remaining agnostic to data environments, processes, utility and geography. Consequently, a data fabric self-manages and automates data discovery, governance and consumption, which enables.

MDM 79

MDM Retail Metadata Access 79

Collibra

NOVEMBER 11, 2020

However, for the purpose of this blog we will focus on two that are most significant: Delta Lake: Databricks is the original creator of Delta Lake , an open-source storage layer for big data implementations. Collibra’s detailed knowledge of technical metadata supports this process by helping to orchestrate data pipelines.

Analytics 59

Analytics Metadata Compliance Digital transformation 59

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Best Data Governance Solution (erwin Data Intelligence). Best Data Governance Solution (erwin Data Intelligence).

Digital transformation 52

Digital transformation Metadata Compliance Big data 52

IBM Big Data Hub

JUNE 8, 2022

However, a foundational step in evolving into a data-driven organization requires trusted, readily available, and easily accessible data for users within the organization; thus, an effective data governance program is key. Here are a few common data management challenges: Regulatory compliance on data use.

Government 56

Government Privacy Analytics Metadata 56

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

Everteam

MAY 29, 2019

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. This auto classification service will organize the documents according to their metadata.

Artificial Intelligence 75

Artificial Intelligence Insurance Metadata Big data 75